| 0 | Questionperception | What are the important objects in the current scene? Those objects will be considered for the future reasoning and driving decision. |
| GT Answer | There is a red car to the front of the ego vehicle, a black car to the back of the ego vehicle, a white sedan to the front of the ego vehicle, a white sedan car to the front of the ego vehicle, a black sedan to the front of the ego vehicle, and a white landmark to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,724.2,532.5>, <c2,CAM_BACK,887.5,507.5>, <c3,CAM_FRONT,978.3,623.3>, <c4,CAM_FRONT,25.8,542.5>, <c5,CAM_FRONT,1072.5,533.3>, and <c6,CAM_FRONT,1294.3,797.1>. |
| InternVL2-2B | In the current scene, the important objects include:
1. The car in the foreground: The car is the primary object of interest. It is the vehicle that is currently in motion and is the focus of the camera's view.
2. The road: The road is the primary surface on which the car is traveling. It is the main pathway for the car to navigate.
3. The traffic lights: The traffic lights are crucial for the car's navigation. They control the flow of traffic and ensure that the car can proceed safely.
4. The pedestrian crossing: The pedestrian crossing is an important object for the car to be aware of. It indicates a safe area for pedestrians to cross the road.
5. The buildings and trees: The buildings and trees provide context and help orient the car. They also indicate the location and environment of the scene.
These objects are essential for the car's safe and efficient navigation through the scene. |
| Mini-InternVL2-2B-DA-DriveLM | There is a red car to the front of the ego vehicle, a white sedan to the front of the ego vehicle, and a black sedan to the back of the ego vehicle. The IDs of these objects are 438, 333, and 510. |
| llama_adapter_v2_multimodal7b | In the current scene, the important objects to consider for future reasoning and driving decisions include the parked cars, the traffic light, and the streetlight. The parked cars are located on the side of the road, and the traffic light is hanging above the street, indicating that the driver should be cautious and follow the traffic rules. The streetlight provides illumination for the area, which is essential for visibility and safety. The driver should be aware of these objects and their positions while driving to ensure a safe and smooth journey. |
| InternVL2-2b-LoRA-25k-drivelm | There is a white sedan to the front of the ego vehicle, a red car to the back of the ego vehicle, and a red car to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,1080.0,525.8>, <c2,CAM_BACK,1080.0,495.8>, and <c3,CAM_FRONT,1080.0,495.8>. |
| InternVL2-2b-LoRA-25k-drivelm-offline-redcircle-ctag-bkgd | There is a white sedan to the front of the ego vehicle, a black sedan to the back of the ego vehicle, a white sedan to the front of the ego vehicle, a white arrow to the front of the ego vehicle, a white arrow to the front of the ego vehicle, and a white parking space to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,1092.5,533.3>, <c2,CAM_BACK,887.5,507.5>, <c3,CAM_FRONT,978.3,623.3>, <c4,CAM_FRONT,25.8,542.5>, <c5,CAM_FRONT,1072.5,533.3>, and <c6,CAM_FRONT,1294.3,797.1>. |
| InternVL2-2b-LoRA-25k_plus_DL-PL-10pct | There is a car to the front of the ego vehicle, a car to the front of the ego vehicle, and a car to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,1080.0,540.0>, <c2,CAM_FRONT,1080.0,540.0>, and <c3,CAM_FRONT,1080.0,540.0>. |
| InternVL2-2b-LoRA-300k-drivelm | There is a white sedan to the front of the ego vehicle, a red car to the front of the ego vehicle, a white sedan to the front of the ego vehicle, a white sedan to the front of the ego vehicle, and a green light to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,1080.0,520.0>, <c2,CAM_FRONT,1080.0,495.8>, <c3,CAM_FRONT,1010.8,505.8>, <c4,CAM_FRONT,1010.8,505.8>, and <c5,CAM_FRONT,1010.8,505.8>. |
| llava-v1.6-mistral-7b-hf | In the current scene, the important objects to consider for future reasoning and driving decisions include:
1. Traffic lights: There are multiple traffic lights visible in the image, which are crucial for understanding the right of way and when to stop or proceed.
2. Vehicles: There are several cars and a truck visible in the image. Their positions and actions can affect the flow of traffic and the need for caution or response.
3. Pedestrians: There are a few pedestrians visible in the image, which require attention to ensure their safety.
4. Road markings: The white lines on the road indicate lanes and can help in determining the correct lane to be in.
5. Streetlights: The streetlights are important for visibility at night.
6. Signage: There are a couple of signs visible in the image, which provide information about the road conditions or directions.
7. Road surface: The condition of the road surface can affect the vehicle's handling and braking.
8. Surrounding environment: The presence of trees and other elements of the environment can affect visibility and the need for caution.
9. Time of day: The image is taken at night, which can affect visibility and the need for headlights and other lighting.
10. Weather conditions: The image does not provide direct information about the weather, but the visibility and the presence of lights suggest that the weather is not too severe.
These objects are important for drivers to consider when making decisions about their driving actions, such as when to stop, when to proceed, and how to navigate the road safely. |
| 1 | Questionperception | What is the moving status of object <c2,CAM_BACK,887.5,507.5>? Please select the correct answer from the following options: A. Going ahead. B. Reverse parking. C. Stopped. D. Turn right. |
| GT Answer | A |
| InternVL2-2B | The moving status of object <c2,CAM_BACK,887.5,507.5> is C. Stopped. |
| Mini-InternVL2-2B-DA-DriveLM | A |
| llama_adapter_v2_multimodal7b | The moving status of object <c2,CAM_BACK,887.5,507.5> is that it is stopped. |
| InternVL2-2b-LoRA-25k-drivelm | A |
| InternVL2-2b-LoRA-25k-drivelm-offline-redcircle-ctag-bkgd | A |
| InternVL2-2b-LoRA-25k_plus_DL-PL-10pct | A |
| InternVL2-2b-LoRA-300k-drivelm | C. Stopped. |
| llava-v1.6-mistral-7b-hf | A. Going ahead |
| 2 | Questionprediction | Which object is most likely to be occluded by <c3,CAM_FRONT,978.3,623.3>? Would this object affect the ego vehicle? Based on this object, what action of the ego vehicle is dangerous? |
| GT Answer | <c5,CAM_FRONT,1072.5,533.3>. No, accelerating and going ahead. |
| InternVL2-2B | To determine which object is most likely to be occluded by the camera's field of view, we need to analyze the position and visibility of the objects in the image. The camera's field of view is centered around the ego vehicle, and we can see the road ahead clearly.
1. **CAM_FRONT_LEFT**: The object in the top-left corner is visible and appears to be in the camera's field of view.
2. **CAM_FRONT**: The object in the center is also visible and appears to be in the camera's field of view.
3. **CAM_FRONT_RIGHT**: The object in the top-right corner is visible and appears to be in the camera's field of view.
4. **CAM_BACK_LEFT**: The object in the bottom-left corner is visible and appears to be in the camera's field of view.
5. **CAM_BACK**: The object in the center is visible and appears to be in the camera's field of view.
6. **CAM_BACK_RIGHT**: The object in the bottom-right corner is visible and appears to be in the camera's field of view.
Given that the camera is facing forward, the object in the center (CAM_FRONT) is most likely to be occluded by the camera's field of view. This object is directly ahead of the ego vehicle, and the camera's perspective makes it difficult to see the object clearly.
The object in the center (CAM_FRONT) is most likely to be occluded by the camera's field of view. This object is directly ahead of the ego vehicle, and the camera's perspective makes it difficult to see the object clearly. The action of the ego vehicle that is most likely to be dangerous is the one that involves the object in the center (CAM_FRONT). This could be a collision or a potential obstruction of the ego vehicle's path. |
| Mini-InternVL2-2B-DA-DriveLM | None, no, none. |
| llama_adapter_v2_multimodal7b | The object most likely to be occluded by <c3,CAM_FRONT,978.3,623.3> is the car in front of the ego vehicle. This object would affect the ego vehicle because the car in front is blocking the view of the road ahead, which can lead to dangerous situations if the ego vehicle does not maintain a safe distance or if the driver is not paying attention to the road. The ego vehicle should maintain a safe following distance and be prepared to react to any sudden changes in traffic conditions or obstacles, such as the car in front. |
| InternVL2-2b-LoRA-25k-drivelm | <c2,CAM_FRONT,1080.0,525.0>, no, none. |
| InternVL2-2b-LoRA-25k-drivelm-offline-redcircle-ctag-bkgd | <c5,CAM_FRONT,1072.5,533.3>, no, none. |
| InternVL2-2b-LoRA-25k_plus_DL-PL-10pct | <c1,CAM_FRONT,1011.7,525.8>, no, none. |
| InternVL2-2b-LoRA-300k-drivelm | None, no, none. |
| llava-v1.6-mistral-7b-hf | The object most likely to be occluded by `<c3,CAM_FRONT,978.3,623.3>` is the car in the front right lane, as it is directly in the path of the camera's viewpoint. This car could affect the ego vehicle if the ego vehicle is not paying attention to its surroundings or if it is not following the correct lane markings.
The action of the ego vehicle that is dangerous in this situation is changing lanes without checking for oncoming traffic or without signaling its intention to change lanes. If the ego vehicle changes lanes without proper signaling or without checking for the car in the front right lane, it could lead to a collision. It is important for the driver of the ego vehicle to be aware of their surroundings and to use their turn signals when changing lanes to ensure safe navigation on the road. |
| 3 | Questionprediction | Is <c1,CAM_FRONT,724.2,532.5> a traffic sign or a road barrier? |
| GT Answer | No. |
| InternVL2-2B | To determine if the coordinates <c1,CAM_FRONT,724.2,532.5> represent a traffic sign or a road barrier, let's break down the coordinates step by step:
1. **Coordinates Analysis**:
- **c1**: This is the starting point of the coordinates.
- **CAM_FRONT**: This is the camera's position relative to the road.
- **724.2**: This is the x-coordinate of the point.
- **532.5**: This is the y-coordinate of the point.
2. **Understanding the Coordinates**:
- The coordinates are given in a format that is typical for GPS coordinates. The format is usually (latitude, longitude).
3. **Interpreting the Coordinates**:
- **Latitude**: 724.2
- **Longitude**: 532.5
4. **Interpreting the Intersection**:
- The coordinates are within the road's boundary. The coordinates are within the visible lane of the road.
- There is no indication of a sign or barrier in the immediate vicinity of the coordinates.
5. **Conclusion**:
- Given the coordinates are within the visible lane of the road, it is reasonable to conclude that they represent a road barrier or a part of the road itself.
In conclusion, the coordinates <c1,CAM_FRONT,724.2,532.5> represent a road barrier or part of the road. |
| Mini-InternVL2-2B-DA-DriveLM | No. |
| llama_adapter_v2_multimodal7b | The image does not provide enough information to confidently determine whether the <c1,CAM_FRONT,724.2,532.5> is a traffic sign or a road barrier. It could be either, but without more context or a clearer view of the sign, it is not possible to definitively identify its purpose. |
| InternVL2-2b-LoRA-25k-drivelm | No. |
| InternVL2-2b-LoRA-25k-drivelm-offline-redcircle-ctag-bkgd | No. |
| InternVL2-2b-LoRA-25k_plus_DL-PL-10pct | No. |
| InternVL2-2b-LoRA-300k-drivelm | No. |
| llava-v1.6-mistral-7b-hf | The image you've provided appears to be a series of nighttime street scenes, likely taken from a vehicle's dashboard camera. The image labeled "<c1,CAM_FRONT,724.2,532.5>" shows a view from the front of a vehicle, looking out onto the road.
In the image, there is a traffic sign visible on the right side of the road. It's a rectangular sign with a white background and a red border, but the specific details of the sign are not clear due to the angle and the lighting conditions. The sign could be providing information about the road ahead, such as speed limits, road conditions, or warnings about upcoming traffic.
There is no clear indication of a road barrier in this image. Road barriers are typically large, solid structures that block off a road or lane, and they are not visible in this particular image. |
| 4 | Questionplanning | What actions could the ego vehicle take based on <c1,CAM_FRONT,724.2,532.5>? Why take this action and what's the probability? |
| GT Answer | The action is to keep going at the same speed. The reason is that there is no safety issue, and the probability is high. |
| InternVL2-2B | Based on the given information, the ego vehicle is approaching a pedestrian crossing. The action to take is to stop and yield to pedestrians. The probability of this action occurring can be inferred from the following factors:
1. **Pedestrian Crossing**: The image shows a pedestrian crossing, which is a common area where vehicles must yield to pedestrians. This is a standard rule of the road, and it is likely that vehicles will stop at this intersection.
2. **Speed and Visibility**: The image shows a vehicle approaching the intersection, which suggests that the vehicle is traveling at a moderate speed. Pedestrian crossings are typically safer to stop at, especially when visibility is good and there are no other vehicles or pedestrians in the immediate vicinity.
3. **Traffic Rules**: The image also shows a traffic sign indicating a pedestrian crossing, which is a clear indication that vehicles must stop. This is a standard traffic rule that is universally enforced.
4. **Proximity to Pedestrians**: The image shows a vehicle in the distance, which suggests that there are no pedestrians in immediate proximity to the vehicle. This is another reason to stop and yield to pedestrians.
Given these factors, the probability of the ego vehicle stopping and yielding to pedestrians is high. The image clearly shows a pedestrian crossing, and the vehicle is approaching it at a moderate speed. The traffic sign also confirms that this is a pedestrian crossing, and the presence of other vehicles in the distance suggests that there are no pedestrians in immediate proximity. |
| Mini-InternVL2-2B-DA-DriveLM | The action is to keep going at the same speed. The reason is that there is no safety issue. The probability is high. |
| llama_adapter_v2_multimodal7b | Based on the given coordinates, the ego vehicle is at the position <c1,CAM_FRONT,724.2,532.5>. The vehicle could take several actions, such as turning left, turning right, or staying in its current position. The probability of the vehicle turning left is 0.5, as the coordinates indicate that the vehicle is at the left side of the street. The probability of the vehicle turning right is also 0.5, as the coordinates indicate that the vehicle is at the right side of the street. The probability of the vehicle staying in its current position is 0.5, as the coordinates indicate that the vehicle is at the middle of the street. |
| InternVL2-2b-LoRA-25k-drivelm | The action is to keep going at the same speed. The reason is that there is no safety issue, and the probability is high. |
| InternVL2-2b-LoRA-25k-drivelm-offline-redcircle-ctag-bkgd | The action is to keep going at the same speed. The reason is that there is no safety issue, and the probability is high. |
| InternVL2-2b-LoRA-25k_plus_DL-PL-10pct | The action is to keep going at the same speed. The reason is that there is no safety issue. The probability is high. |
| InternVL2-2b-LoRA-300k-drivelm | The action is to keep going at the same speed. The reason is that there is no safety issue, and the probability is high. |
| llava-v1.6-mistral-7b-hf | The image you've provided appears to be a sequence of images showing a vehicle's perspective at different points in time, likely from a dashcam or a surveillance camera. The sequence is labeled with "CAM_FRONT" and "CAM_BACK," indicating that the camera is mounted on the front of the vehicle.
Based on the first image, the ego vehicle is at a stoplight, waiting for the light to change. The probability of the vehicle moving forward when the light turns green is high, as the vehicle is already stopped and it's typical for vehicles to proceed when the light turns green.
In the second image, the vehicle is still at the stoplight, so the probability of the vehicle moving forward is still high, as the light has not changed yet.
In the third image, the vehicle is still at the stoplight, so the probability of the vehicle moving forward is still high, as the light has not changed yet.
In the fourth image, the vehicle is still at the stoplight, so the probability of the vehicle moving forward is still high, as the light has not changed yet.
In the fifth image, the vehicle is still at the stoplight, so the probability of the vehicle moving forward is still high, as the light has not changed yet.
In the sixth image, the vehicle is still at the stoplight, so the probability of the vehicle moving forward is still high, as the light has not changed yet.
In the seventh image, the vehicle is still at the stoplight, so the probability of the vehicle moving forward is still high, as the light has not changed yet.
In the eighth image, the vehicle is still at the stoplight, so the probability of the vehicle moving forward is still high, as the light has not changed yet.
In the ninth image, the vehicle is still at the stoplight, so the probability of the vehicle moving forward is still high, as the light has not changed yet.
In the tenth image, the vehicle is still at the stoplight, so the probability of the vehicle moving forward is still high, as the light has not changed yet.
In the eleventh image, the vehicle is still at the stoplight, so the probability of the vehicle moving forward is still high, as the light has not changed yet.
In the twelfth image, the vehicle is still at the stoplight, so the probability of |
| 5 | Questionplanning | What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,724.2,532.5>? |
| GT Answer | No action taken by the ego vehicle will lead to a collision with <c1,CAM_FRONT,724.2,532.5>. |
| InternVL2-2B | The ego vehicle, represented by the car in the center of the image, is approaching a pedestrian crossing. Here are the actions that can lead to a collision with the pedestrian crossing:
1. **Speeding**: The ego vehicle is moving at a high speed, which can cause it to cross the pedestrian crossing area too quickly, potentially leading to a collision.
2. **Lane Departure**: The ego vehicle may attempt to change lanes without yielding to the pedestrian, which can result in a collision if the pedestrian is not expecting the vehicle to change lanes.
3. **Speeding Too Fast**: The ego vehicle may be driving at a high speed, which can lead to a collision if the pedestrian is not aware of the vehicle's speed and position.
4. **Lane Change Without Warning**: The ego vehicle may change lanes without signaling or warning the pedestrian, which can lead to a collision if the pedestrian is not aware of the vehicle's intentions.
5. **Driving Under the Pedestrian Crossing**: The ego vehicle may be driving under the pedestrian crossing, which can lead to a collision if the pedestrian is not aware of the vehicle's position.
6. **Driving Too Close to Pedestrian**: The ego vehicle may be driving too close to the pedestrian, which can lead to a collision if the pedestrian is not expecting the vehicle to be too close.
7. **Driving in the Wrong Lane**: The ego vehicle may be driving in the wrong lane, which can lead to a collision if the pedestrian is not aware of the vehicle's position.
8. **Driving in the Wrong Lane and Speed**: The ego vehicle may be driving in the wrong lane and at a high speed, which can lead to a collision if the pedestrian is not aware of the vehicle's position and speed.
9. **Driving in the Wrong Lane and Lane Change**: The ego vehicle may be driving in the wrong lane and attempting to change lanes, which can lead to a collision if the pedestrian is not aware of the vehicle's intentions.
10. **Driving in the Wrong Lane and Lane Change Without Warning**: The ego vehicle may be driving in the wrong lane and attempting to change lanes without warning the pedestrian, which can lead to a collision if the pedestrian is not aware of the vehicle's intentions.
These actions can lead to a collision with the pedestrian crossing, as the vehicle may not be able to react quickly enough or may not be aware of the pedestrian's presence. |
| Mini-InternVL2-2B-DA-DriveLM | No such action will lead to a collision. |
| llama_adapter_v2_multimodal7b | The ego vehicle is driving down the street, and it is approaching a red traffic light at the intersection. If the ego vehicle continues to drive forward without stopping, it may collide with the <c1,CAM_FRONT,724.2,532.5> position, which represents the front of the ego vehicle. This collision could result from the ego vehicle not paying attention to the traffic light or not reacting in time to the red signal. It is crucial for drivers to obey traffic signals and be aware of their surroundings to avoid potential collisions and ensure road safety. |
| InternVL2-2b-LoRA-25k-drivelm | Accelerating and going straight. |
| InternVL2-2b-LoRA-25k-drivelm-offline-redcircle-ctag-bkgd | Accelerate and go straight. |
| InternVL2-2b-LoRA-25k_plus_DL-PL-10pct | Accelerating and going straight. |
| InternVL2-2b-LoRA-300k-drivelm | Accelerating and going straight. |
| llava-v1.6-mistral-7b-hf | The image you've provided appears to be a series of snapshots from a vehicle's camera system, showing different views of the road ahead. The snapshots are labeled with various camera angles:
1. CAM_FRONT_LEFT
2. CAM_FRONT_RIGHT
3. CAM_BACK_LEFT
4. CAM_BACK_RIGHT
To avoid a collision with the vehicle labeled as <c1,CAM_FRONT,724.2,532.5>, the ego vehicle should take the following actions:
1. **Maintain a Safe Following Distance**: The ego vehicle should ensure it maintains a safe distance from the vehicle in front, especially when the vehicle is making a turn. This will allow the ego vehicle to react to any sudden changes in the vehicle's direction or speed.
2. **Anticipate Turns**: The ego vehicle should be aware of the vehicle's turn signals and anticipate the turn. This will help the ego vehicle to adjust its speed and position accordingly.
3. **Use Turn Signals**: If the ego vehicle intends to make a turn, it should use its turn signals to communicate its intentions to other road users.
4. **Slow Down**: As the vehicle in front is making a turn, the ego vehicle should slow down to match the speed of the turning vehicle.
5. **Stay in Lane**: The ego vehicle should stay in its lane and not attempt to cut in front of the turning vehicle, as this could lead to a collision.
6. **Be Prepared for Sudden Stops**: If the turning vehicle stops suddenly, the ego vehicle should be prepared to stop as well.
7. **Use Mirrors and Blind Spot Checks**: The driver should use mirrors and perform blind spot checks to ensure they are aware of their surroundings and the position of other vehicles.
8. **Follow Traffic Rules**: The driver should follow all traffic rules and regulations, including speed limits, right-of-way, and lane markings.
By following these guidelines, the ego vehicle can safely navigate the road and avoid a collision with the vehicle in front. |
| 6 | Questionplanning | In this scenario, what are safe actions to take for the ego vehicle? |
| GT Answer | Keep going at the same speed, decelerate gradually without braking. |
| InternVL2-2B | Based on the image, the safe actions for the ego vehicle would include maintaining a safe following distance from the vehicle in front, ensuring that the vehicle in front is not turning or changing lanes, and being prepared to stop if necessary. The ego vehicle should also be aware of the traffic signals and any potential hazards, such as pedestrians or other vehicles, and adjust its speed accordingly. Additionally, the ego vehicle should be prepared to change lanes if necessary to avoid any potential collisions or to maintain a safe following distance. |
| Mini-InternVL2-2B-DA-DriveLM | Slightly offset to the left, slightly offset to the right, and keep going at the same speed are safe actions to take for the ego vehicle in this scenario. |
| llama_adapter_v2_multimodal7b | In the image, a car is driving down a street at night, and there are multiple traffic lights visible. To ensure safety, the ego vehicle should follow the traffic lights and their corresponding signals. This includes stopping at red lights, slowing down or stopping at yellow lights, and proceeding through green lights when it is safe to do so. Additionally, the driver should be vigilant and aware of other vehicles, pedestrians, and potential obstacles on the road. It is also essential to maintain a safe distance from other vehicles and be prepared for any sudden changes in traffic conditions or road conditions, such as wet or icy surfaces. By following these safe actions, the ego vehicle can navigate the street and minimize the risk of accidents or traffic violations. |
| InternVL2-2b-LoRA-25k-drivelm | Keep going at the same speed, accelerate, and proceed. |
| InternVL2-2b-LoRA-25k-drivelm-offline-redcircle-ctag-bkgd | Decelerate gradually without braking and continue at the same speed. |
| InternVL2-2b-LoRA-25k_plus_DL-PL-10pct | Keep going at the same speed, decelerate gradually without braking. |
| InternVL2-2b-LoRA-300k-drivelm | Keep going at the same speed, decelerate gradually without braking. |
| llava-v1.6-mistral-7b-hf | In the given scenario, the ego vehicle is a car driving on a road at night. To ensure safe driving, the driver should take the following actions:
1. **Turn on Headlights**: The car's headlights should be turned on to improve visibility and signal the vehicle's presence to other road users.
2. **Slow Down**: The driver should reduce speed to account for reduced visibility at night.
3. **Stay Alert**: The driver should remain focused on the road, avoiding distractions such as using a phone or engaging in other activities that could divert attention.
4. **Follow Traffic Rules**: The driver should obey all traffic signals and signs, including the ones labeled "CAM_FRONT_LEFT," "CAM_FRONT_RIGHT," "CAM_BACK_LEFT," and "CAM_BACK_RIGHT." These labels suggest that there are cameras monitoring the front and back of the vehicle, so the driver should be cautious and adhere to the speed limits and traffic regulations.
5. **Use Indicators**: When changing lanes or making turns, the driver should use the vehicle's turn signals to communicate their intentions to other road users.
6. **Maintain a Safe Following Distance**: The driver should keep a safe distance from the vehicle in front to allow for adequate reaction time in case of sudden stops or changes in traffic flow.
7. **Be Prepared for Pedestrians and Cyclists**: The driver should be extra vigilant for pedestrians and cyclists who might be less visible at night.
8. **Regularly Check the Vehicle**: The driver should ensure that the vehicle's headlights, taillights, and turn signals are functioning properly to maximize visibility and communication with other road users.
9. **Stay in the Lane**: The driver should avoid drifting out of the lane, especially when there are cameras monitoring the vehicle's position.
10. **Pull Over If Necessary**: If the driver feels fatigued or unsafe to continue driving, they should pull over to a safe location and rest before continuing.
By following these safety measures, the driver can significantly reduce the risk of accidents and ensure a safe journey. |
| 7 | Questionbehavior | Predict the behavior of the ego vehicle. Please select the correct answer from the following options: A. The ego vehicle is steering to the right. The ego vehicle is driving very fast. B. The ego vehicle is slightly steering to the right. The ego vehicle is driving slowly. C. The ego vehicle is slightly steering to the left. The ego vehicle is driving with normal speed. D. The ego vehicle is going straight. The ego vehicle is driving slowly. |
| GT Answer | D |
| InternVL2-2B | Based on the image, the ego vehicle is driving straight. The image shows the ego vehicle in the center of the road with its headlights on, indicating that it is driving straight ahead. There is no indication of the ego vehicle steering to the right, left, or slightly to the right, nor is there any indication of the ego vehicle driving very fast or slowly. |
| Mini-InternVL2-2B-DA-DriveLM | D |
| llama_adapter_v2_multimodal7b | The ego vehicle is steering to the right. |
| InternVL2-2b-LoRA-25k-drivelm | D |
| InternVL2-2b-LoRA-25k-drivelm-offline-redcircle-ctag-bkgd | D |
| InternVL2-2b-LoRA-25k_plus_DL-PL-10pct | D |
| InternVL2-2b-LoRA-300k-drivelm | B. The ego vehicle is slightly steering to the right. The ego vehicle is driving slowly. |
| llava-v1.6-mistral-7b-hf | Based on the image provided, the ego vehicle is driving straight and appears to be maintaining a normal speed. There is no indication that the vehicle is steering to the left or right, nor is there any evidence of the vehicle driving very fast. |
