| 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 white truck to the front of the ego vehicle, a black sedan to the front of the ego vehicle, a black sedan to the front of the ego vehicle, a red light to the front of the ego vehicle, and a go straight and turn left to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,441.7,485.0>, <c2,CAM_FRONT,1589.7,669.2>, <c3,CAM_FRONT,684.2,512.5>, <c4,CAM_FRONT,802.4,296.5>, and <c5,CAM_FRONT,836.8,801.2>. |
| InternVL2-2B | In the current scene, the important objects include:
1. **Truck**: The white truck with the "UNITED STATES POSTAL SERVICE" logo is a critical object. It is likely a postal service truck, which is essential for delivering mail and packages. The truck's presence indicates that the scene is set in a location where postal services are available.
2. **Cars**: The black sedan and the dark-colored sedan are also important objects. They are likely part of the traffic flow and are essential for understanding the urban environment and the flow of traffic.
3. **Pedestrians**: The pedestrians on the sidewalk are important as they provide context about the urban setting and the level of activity in the area.
4. **Buildings**: The multi-story buildings with large windows and the brick building with the "SPORTELLO" sign are important as they provide a sense of the urban environment and the types of businesses and establishments that are present.
5. **Traffic Lights**: The traffic lights are important as they indicate the flow of traffic and the need for drivers to stop or proceed at intersections.
6. **Street Signs**: The street signs, including the pedestrian crossing sign and the directional arrows, are important for understanding the layout of the street and the rules of the road.
These objects collectively provide a comprehensive view of the urban environment and the traffic conditions in the scene. |
| Mini-InternVL2-2B-DA-DriveLM | There is a black car to the front of the ego vehicle, a black sedan to the front of the ego vehicle, a black sedan to the back of the ego vehicle, a white truck to the front of the ego vehicle, a white truck to the back of the ego vehicle, and a red light to the front of the ego vehicle. The IDs of these objects are 1, 2, 3, 4, 5, and 6. |
| llama_adapter_v2_multimodal7b | In the current scene, the important objects to consider for future reasoning and driving decisions include the white truck, the cars, the traffic lights, and the buildings. The white truck is driving down the street, and it is crucial to be aware of its movements and potential blind spots. The cars are also present on the street, and they should be taken into account when making turns or changing lanes. The traffic lights play a significant role in regulating the flow of traffic and ensuring safety. Finally, the buildings in the background can provide context and help drivers navigate the area more effectively. |
| InternVL2-2b-LoRA-25k-drivelm | There is a black sedan to the back of the ego vehicle, a white truck to the front right of the ego vehicle, a black sedan to the front of the ego vehicle, a black sedan to the front of the ego vehicle, and a white truck to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,1080.0,525.8>, <c2,CAM_FRONT_RIGHT,1080.0,495.0>, <c3,CAM_FRONT,1080.0,500.0>, <c4,CAM_FRONT,1080.0,500.0>, and <c5,CAM_FRONT,1080.0,500.0>. |
| InternVL2-2b-LoRA-25k-drivelm-offline-redcircle-ctag-bkgd | There is a white truck to the front of the ego vehicle, a white truck to the front of the ego vehicle, a white truck to the front of the ego vehicle, a red light to the front of the ego vehicle, and a white arrow to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,444.2,465.8>, <c2,CAM_FRONT,1589.7,669.2>, <c3,CAM_FRONT,684.2,512.5>, <c4,CAM_FRONT,802.4,296.5>, and <c5,CAM_FRONT,836.8,801.2>. |
| InternVL2-2b-LoRA-25k_plus_DL-PL-10pct | There is a black sedan to the front of the ego vehicle, a black sedan to the back of the ego vehicle, a white truck to the front of the ego vehicle, a black sedan to the front of the ego vehicle, and a black sedan to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,1010.0,525.0>, <c2,CAM_BACK,1010.0,525.0>, <c3,CAM_FRONT,1010.0,525.0>, <c4,CAM_FRONT,1010.0,525.0>, and <c5,CAM_FRONT,1010.0,525.0>. |
| InternVL2-2b-LoRA-300k-drivelm | There is a black car to the front of the ego vehicle, a black sedan to the front of the ego vehicle, a white truck to the front of the ego vehicle, a black sedan to the front of the ego vehicle, a white truck to the front of the ego vehicle, a black sedan to the back of the ego vehicle, a black sedan to the front of the ego vehicle, a black sedan to the front of the ego vehicle, a black 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 <c1,CAM_FRONT,1080.0,520.0>, <c2,CAM_FRONT,1010.8,505.8>, <c3,CAM_FRONT,1010.8,490.0>, <c4,CAM_FRONT,1010.8,490.0>, <c5,CAM_FRONT,1010.8,490.0>, <c6,CAM_BACK,1010.8,520.0>, <c7,CAM_BACK,1010.8,500.0>, <c8,CAM_FRONT,1010.8,490.0>, <c9,CAM_BACK,1010.8,500.0>, <c10,CAM_FRONT,1010.8,490.0>, and <c11,CAM_BACK,1010.8,500.0>. |
| llava-v1.6-mistral-7b-hf | In the current scene, the important objects to consider for future reasoning and driving decisions include:
1. Vehicles: There are several cars and trucks on the road, which are crucial for understanding traffic flow and potential hazards.
2. Pedestrians: There are people walking on the sidewalks, which indicates that pedestrians are present and need to be considered when making driving decisions.
3. Traffic lights: There are traffic lights at various points in the scene, which are essential for understanding when to stop, proceed, or be cautious.
4. Road signs: There are road signs indicating directions and lane changes, which are important for navigation and ensuring safe driving.
5. Buildings: The presence of buildings suggests that this is an urban environment, which may have specific traffic rules and regulations.
6. Fire hydrants: There is a fire hydrant on the sidewalk, which is important for emergency services access and should be considered when parking or maneuvering vehicles.
7. Parking meters: There are parking meters along the street, which indicate that parking is regulated and may require payment.
8. Street markings: The street has various markings, such as crosswalks and lane dividers, which are important for understanding where to stop, yield, or park.
9. Truck with a trailer: There is a truck with a trailer, which may have different maneuvering capabilities and require extra caution when driving around it.
10. Backpack: There is a backpack visible, which might belong to a pedestrian and could be a potential obstacle if it falls onto the road.
These objects, along with the general layout of the street and the positioning of the vehicles, will be important for making safe and informed driving decisions. |
| 1 | Questionperception | What is the moving status of object <c1,CAM_FRONT,441.7,485.0>? Please select the correct answer from the following options: A. Turn right. B. Going ahead. C. Stopped. D. Drive backward. |
| GT Answer | B |
| InternVL2-2B | The moving status of object <c1,CAM_FRONT,441.7,485.0> is C. Stopped. |
| Mini-InternVL2-2B-DA-DriveLM | B |
| llama_adapter_v2_multimodal7b | The moving status of object <c1,CAM_FRONT,441.7,485.0> is "Going ahead." |
| InternVL2-2b-LoRA-25k-drivelm | B |
| InternVL2-2b-LoRA-25k-drivelm-offline-redcircle-ctag-bkgd | B |
| InternVL2-2b-LoRA-25k_plus_DL-PL-10pct | B |
| InternVL2-2b-LoRA-300k-drivelm | C. Stopped. |
| llava-v1.6-mistral-7b-hf | C. Stopped |
| 2 | Questionprediction | Which object is most likely to be occluded by <c1,CAM_FRONT,441.7,485.0>? Would this object affect the ego vehicle? Based on this object, what action of the ego vehicle is dangerous? |
| GT Answer | <c3,CAM_FRONT,684.2,512.5>. No, accelerating and going ahead. |
| InternVL2-2B | The object most likely to be occluded by `<c1,CAM_FRONT,441.7,485.0>` is the white delivery truck on the right side of the image. This object is positioned in the middle of the image, partially obstructing the view of the ego vehicle (the car in the foreground).
The action of the ego vehicle that is dangerous due to this occlusion is the maneuvering around the delivery truck. The delivery truck is blocking the view of the ego vehicle, making it difficult to see the road ahead and potentially leading to a collision or other hazards. The driver of the ego vehicle must be cautious and adjust their driving accordingly to avoid the obstruction. |
| Mini-InternVL2-2B-DA-DriveLM | None, no, none. |
| llama_adapter_v2_multimodal7b | The object most likely to be occluded by <c1,CAM_FRONT,441.7,485.0> is the truck's front bumper. This object is positioned in front of the ego vehicle, which is a car. The truck's front bumper might partially or completely obstruct the view of the car's front, making it difficult for the car driver to see the road ahead, especially in situations where the truck is moving or changing lanes. This object poses a danger to the ego vehicle because the driver might not be able to anticipate potential hazards or obstacles in time, increasing the risk of accidents. |
| InternVL2-2b-LoRA-25k-drivelm | <c2,CAM_FRONT,1065.0,505.0>, no, none. |
| InternVL2-2b-LoRA-25k-drivelm-offline-redcircle-ctag-bkgd | <c2,CAM_FRONT,1589.7,669.2>. No, accelerate and go ahead. |
| InternVL2-2b-LoRA-25k_plus_DL-PL-10pct | <c2,CAM_FRONT,1080.0,510.0>, no, none. |
| InternVL2-2b-LoRA-300k-drivelm | None, no, none. |
| llava-v1.6-mistral-7b-hf | The object most likely to be occluded by `<c1,CAM_FRONT,441.7,485.0>` is the car in the front right lane, as it is directly in the path of the camera's view. This car could affect the ego vehicle if the ego vehicle is not paying attention to its surroundings and does not notice the car in the front right lane.
The action of the ego vehicle that is dangerous in this situation is making a left turn without checking for oncoming traffic in the front right lane. If the ego vehicle does not notice the car in the front right lane and proceeds with the turn, it could lead to a collision. This highlights the importance of using sensors and cameras to detect other vehicles and pedestrians, and for the ego vehicle to follow traffic rules and signals to ensure safe navigation through the intersection. |
| 3 | Questionprediction | Is <c1,CAM_FRONT,441.7,485.0> a traffic sign or a road barrier? |
| GT Answer | No. |
| InternVL2-2B | To determine if the coordinates <c1,CAM_FRONT,441.7,485.0> represent a traffic sign or a road barrier, let's analyze the image closely.
1. **Location and Orientation**:
- The coordinates are given in the format (x, y, z), where x, y, and z are the coordinates of the point in the image.
- The coordinates provided are (441.7, 485.0).
2. **Visual Inspection**:
- **Traffic Sign**: A traffic sign typically has a distinct shape, color, or pattern that differentiates it from other objects.
- **Road Barrier**: A road barrier is usually a solid structure that obstructs or restricts the passage of vehicles.
3. **Image Analysis**:
- **Traffic Sign**: The coordinates (441.7, 485.0) do not correspond to any recognizable shape or pattern that is typically associated with traffic signs.
- **Road Barrier**: The coordinates (441.7, 485.0) do not correspond to any solid structure that would be classified as a road barrier.
4. **Conclusion**:
- Given the coordinates (441.7, 485.0) do not match the typical visual characteristics of a traffic sign or road barrier, it is reasonable to conclude that these coordinates do not represent a traffic sign or road barrier.
Therefore, the coordinates <c1,CAM_FRONT,441.7,485.0> do not represent a traffic sign or road barrier. |
| 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,441.7,485.0> is a traffic sign or a road barrier. It could be either, depending on the context and the specific location within the image. |
| 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 show a traffic sign rather than a road barrier. The sign is labeled "CAM_FRONT_LEFT" and is positioned on the left side of the road, which suggests it is a camera system for monitoring traffic from the front left perspective. This type of camera is often used for traffic monitoring and enforcement purposes. |
| 4 | Questionplanning | What actions could the ego vehicle take based on <c1,CAM_FRONT,441.7,485.0>? Why take this action and what's the probability? |
| GT Answer | The action is to brake gently to a stop because there is no safety issue, with a high probability. |
| InternVL2-2B | The ego vehicle, indicated by the camera's position (C1, CAM_FRONT, 441.7, 485.0), is positioned at the intersection of a two-way street. Based on this position, the ego vehicle could take several actions:
1. **Driving straight**: The ego vehicle could continue straight through the intersection, following the traffic flow.
2. **Turning left**: The ego vehicle could make a left turn, as indicated by the arrow on the road.
3. **Driving straight**: The ego vehicle could continue straight through the intersection, following the traffic flow.
4. **Driving straight**: The ego vehicle could continue straight through the intersection, following the traffic flow.
The probability of taking each action can be calculated as follows:
- **Driving straight**: The ego vehicle is at the intersection, and there are no other vehicles or pedestrians in the immediate vicinity. The probability of continuing straight is high, as there are no immediate obstacles or hazards.
- **Turning left**: The ego vehicle is at the intersection, and there are no other vehicles or pedestrians in the immediate vicinity. The probability of making a left turn is high, as there are no immediate right-of-way constraints.
- **Driving straight**: The ego vehicle is at the intersection, and there are no other vehicles or pedestrians in the immediate vicinity. The probability of continuing straight is high, as there are no immediate obstacles or hazards.
- **Driving straight**: The ego vehicle is at the intersection, and there are no other vehicles or pedestrians in the immediate vicinity. The probability of continuing straight is high, as there are no immediate obstacles or hazards.
In summary, the ego vehicle has a high probability of continuing straight through the intersection, making a left turn, or continuing straight through the intersection. |
| Mini-InternVL2-2B-DA-DriveLM | The action is to remain stationary. The reason for this action is to follow the traffic rules, which has a high probability. |
| llama_adapter_v2_multimodal7b | Based on the coordinates <c1,CAM_FRONT,441.7,485.0>, the ego vehicle is likely to take the action of turning left. The probability of this action is high, as the coordinates indicate that the vehicle is in a position where it can make a left turn. The vehicle is likely approaching an intersection or a location where it can safely make a left turn. |
| 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 remain stationary. The reason for this action is that there is no safety issue. The probability of this action 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 as it moves through an urban environment. The sequence is labeled with various actions that the ego vehicle could take, such as "CAM_FRONT_LEFT," "CAM_FRONT_RIGHT," "CAM_BACK_LEFT," and "CAM_BACK_RIGHT."
Based on the label "CAM_FRONT_LEFT," the ego vehicle is likely to make a left turn. This action is typically taken when the vehicle needs to change lanes or make a turn at an intersection. The probability of this action depends on several factors, including the traffic conditions, the presence of pedestrians or cyclists, and the vehicle's intended destination.
The vehicle might be turning left because it is approaching an intersection where a left turn is required. The driver would have assessed the traffic situation, checked for oncoming traffic, and signaled their intention to turn left. The probability of this action is high if the vehicle is indeed approaching an intersection where a left turn is necessary.
However, without additional context or information about the vehicle's destination and the current traffic conditions, it's not possible to provide a precise probability for this action. It's important for the driver to be aware of their surroundings and make decisions based on the road conditions and traffic rules. |
| 5 | Questionplanning | What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,441.7,485.0>? |
| GT Answer | Sharp left turn. |
| InternVL2-2B | The ego vehicle, a black sedan, is approaching a pedestrian crossing. Here are the actions that can lead to a collision with the vehicle in the image:
1. **Speeding**: The ego vehicle is driving at a relatively 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 might attempt to change lanes without sufficient time to react to the pedestrian crossing, leading to a collision.
3. **Speeding Too Fast**: The ego vehicle could be driving at a higher speed than the pedestrian, which could result in a collision.
4. **Lack of Awareness**: The ego vehicle might not be fully aware of the pedestrian crossing, leading to a collision.
5. **Driving Carelessly**: The ego vehicle could be driving carelessly, such as swerving or making sudden turns, which can lead to a collision.
6. **No Pedestrian Crossing Alert**: The ego vehicle might not be equipped with any pedestrian crossing alert system, leading to a collision.
7. **No Pedestrian Crossing Sign**: The ego vehicle might not be aware of the pedestrian crossing sign, leading to a collision.
8. **No Pedestrian Crossing Warning**: The ego vehicle might not be equipped with any pedestrian crossing warning system, leading to a collision.
9. **No Pedestrian Crossing Warning System**: The ego vehicle might not be equipped with any pedestrian crossing warning system, leading to a collision.
10. **No Pedestrian Crossing Warning System**: The ego vehicle might not be equipped with any pedestrian crossing warning system, leading to a collision.
These actions can lead to a collision with the vehicle in the image, as the ego vehicle is approaching the pedestrian crossing area at a high speed. |
| Mini-InternVL2-2B-DA-DriveLM | Accelerating and going straight. |
| llama_adapter_v2_multimodal7b | The ego vehicle is driving down the street, and it is approaching a truck that is parked on the side of the road. The ego vehicle is positioned close to the truck, and it is unclear whether it is moving or parked. If the ego vehicle is moving and does not notice the truck, it could potentially collide with it. Additionally, if the ego vehicle is parked too close to the truck, it might not have enough space to maneuver or reverse safely, increasing the risk of a collision. It is essential for the ego vehicle driver to be aware of their surroundings and maintain a safe distance from other vehicles, especially parked ones, to avoid potential accidents. |
| InternVL2-2b-LoRA-25k-drivelm | Accelerating and going straight. |
| InternVL2-2b-LoRA-25k-drivelm-offline-redcircle-ctag-bkgd | No such action will lead to a collision. |
| 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 shows a sequence of actions that can lead to a collision with the vehicle labeled as <c1,CAM_FRONT,441.7,485.0>. Here's a breakdown of the actions:
1. **CAM_BACK_LEFT**: The ego vehicle is moving backward, which means it is facing away from the camera.
2. **CAM_FRONT_RIGHT**: The ego vehicle is now facing the camera, indicating that it has turned right.
3. **CAM_FRONT_LEFT**: The ego vehicle is now facing the camera again, but this time it has turned left.
4. **CAM_BACK_RIGHT**: The ego vehicle is now moving backward again, but this time it is facing the camera from the right side.
5. **CAM_FRONT_LEFT**: The ego vehicle is facing the camera from the left side again, indicating that it has turned left.
6. **CAM_FRONT_RIGHT**: The ego vehicle is facing the camera from the right side again, indicating that it has turned right.
7. **CAM_BACK_LEFT**: The ego vehicle is moving backward again, but this time it is facing the camera from the left side.
8. **CAM_FRONT_LEFT**: The ego vehicle is facing the camera from the left side again, indicating that it has turned left.
9. **CAM_FRONT_RIGHT**: The ego vehicle is facing the camera from the right side again, indicating that it has turned right.
10. **CAM_BACK_LEFT**: The ego vehicle is moving backward again, but this time it is facing the camera from the left side.
11. **CAM_FRONT_LEFT**: The ego vehicle is facing the camera from the left side again, indicating that it has turned left.
12. **CAM_FRONT_RIGHT**: The ego vehicle is facing the camera from the right side again, indicating that it has turned right.
13. **CAM_BACK_LEFT**: The ego vehicle is moving backward again, but this time it is facing the camera from the left side.
14. **CAM_FRONT_LEFT**: The ego vehicle is facing the camera from the left side again, indicating that it has turned left.
15. **CAM_FRONT_RIGHT**: The ego vehicle |
| 6 | Questionplanning | In this scenario, what are safe actions to take for the ego vehicle? |
| GT Answer | Brake gently to a stop, slightly offset to the left, and slightly offset to the right. |
| InternVL2-2B | Based on the image, the safe actions for the ego vehicle would include maintaining a safe following distance from the white truck, as it is a large vehicle and could potentially cause a collision. The vehicle should also be prepared to stop if necessary, as the truck is in motion and could be turning or changing lanes. Additionally, the driver should be vigilant for pedestrians and other vehicles, especially given the presence of the white truck, which could be a hazard. The vehicle should also be prepared to change lanes if necessary, as indicated by the arrow on the road. |
| Mini-InternVL2-2B-DA-DriveLM | Slightly offset to the left, slightly offset to the right, and brake gently to a stop are safe actions to take for the ego vehicle in this scenario. |
| llama_adapter_v2_multimodal7b | In the image, a truck is driving down a busy city street with other vehicles, including cars and a bus, and there are traffic lights at various intersections. To ensure safety, the ego vehicle should follow these actions:1. Obey traffic signals: The truck should adhere to the traffic lights and follow the right-of-way rules at intersections.2. Maintain a safe distance: The truck should keep a safe distance from other vehicles, especially those in front, to avoid collisions.3. Be cautious at intersections: The truck should be extra vigilant at intersections, as there are multiple traffic lights and other vehicles that may change direction or stop suddenly.4. Be prepared for sudden stops: The truck should anticipate sudden stops from other vehicles, pedestrians, or traffic signals, and be prepared to react accordingly.5. Keep an eye on blind spots: The truck driver should regularly check their blind spots and ensure that other vehicles are visible before changing lanes or making turns.By following these safe actions, the truck driver can minimize the risk of accidents and ensure a smooth and safe journey through the busy city street. |
| InternVL2-2b-LoRA-25k-drivelm | Keep going at the same speed, accelerate, and proceed. |
| InternVL2-2b-LoRA-25k-drivelm-offline-redcircle-ctag-bkgd | Brake gently to a stop, slightly offset to the right. |
| 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 white truck driving down a city street. To ensure safe actions, the driver should:
1. **Maintain a Safe Following Distance**: 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.
2. **Stay in the Right Lane**: The right lane is typically the slow lane, so the driver should stay in this lane unless they are turning right or changing lanes to pass a slower vehicle.
3. **Obey Traffic Signs and Signals**: The driver should pay attention to traffic lights, stop signs, and other road signs to ensure they are following the rules of the road.
4. **Be Aware of Pedestrians**: There are pedestrians visible in the image. The driver should be cautious and prepared to yield to pedestrians when required.
5. **Watch for Other Vehicles**: The driver should be aware of other vehicles on the road, including cars and trucks, and be prepared to react to their actions.
6. **Use Turn Signals**: When making turns, the driver should use the appropriate turn signals to communicate their intentions to other road users.
7. **Check Blind Spots**: Before changing lanes or making turns, the driver should check their blind spots to ensure no other vehicles are in their path.
8. **Slow Down in Construction Zones**: If there are construction zones ahead, the driver should reduce their speed to comply with any posted speed limits and to be prepared for any changes in the roadway.
9. **Stay Alert**: The driver should stay focused on the road and avoid distractions such as using a mobile phone or engaging in other activities that could divert their attention.
10. **Prepare for Emergencies**: The driver should be prepared for any unexpected situations, such as sudden stops or changes in traffic flow, by keeping their vehicle in good working condition and having an emergency kit in the vehicle.
By following these safety guidelines, the driver can help ensure a safe journey for themselves and others on the road. |
| 7 | Questionbehavior | Predict the behavior of the ego vehicle. Please select the correct answer from the following options: A. The ego vehicle is going straight. The ego vehicle is driving slowly. B. The ego vehicle is steering to the left. The ego vehicle is driving very fast. C. The ego vehicle is steering to the right. The ego vehicle is driving slowly. D. The ego vehicle is steering to the left. The ego vehicle is driving with normal speed. |
| GT Answer | A |
| InternVL2-2B | The ego vehicle is steering to the right. The ego vehicle is driving slowly. |
| Mini-InternVL2-2B-DA-DriveLM | A |
| llama_adapter_v2_multimodal7b | The ego vehicle is driving with normal speed, steering to the right. |
| 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. The ego vehicle is steering to the right. The ego vehicle is driving slowly. |
| llava-v1.6-mistral-7b-hf | Based on the image provided, the correct answer is A. The ego vehicle is going straight. The image shows the vehicle driving straight ahead, maintaining its lane on the road. |
