Uncovering ADAS Failure Cases: The Importance of Edge Vision Analytics and Fleet Queries in Vehicle Safety

Collecting failure cases from a fleet of L3 ADAS vehicles is a crucial task in ensuring the safety and reliability of these systems. With the increasing use of advanced driver assistance systems (ADAS) in vehicles, it is important to have a reliable and efficient method for collecting and analyzing data from these systems. One way to achieve this is through the use of intelligent data collection on the edge.

Edge vision analytics is a technology that allows for the real-time analysis of data collected from cameras and sensors on a vehicle. This data can be used to identify patterns and issues that may indicate a failure in the ADAS system. For example, a pattern of sudden braking or swerving may indicate a problem with the vehicle’s lane departure warning system. When these patterns are identified, an event trigger can be sent to record data from the ADAS system, allowing for further analysis and troubleshooting.

Fleet queries are another important tool for collecting data from a fleet of ADAS vehicles. These queries can be sent from a central cloud infrastructure to each vehicle in the fleet. This allows for the collection of data from multiple vehicles at the same time, making it easier to identify patterns and issues across the entire fleet.

Here are twenty examples of failure cases in a L3 ADAS system and how to trigger the data logging:

1. Lane departure warning system failure: A pattern of sudden braking or swerving may indicate a problem with the vehicle’s lane departure warning system. An event trigger can be sent to record data from the ADAS system, allowing for further analysis and troubleshooting.
2. Adaptive cruise control failure: A pattern of sudden braking or swerving may indicate a problem with the vehicle’s adaptive cruise control system. An event trigger can be sent to record data from the ADAS system, allowing for further analysis and troubleshooting.
3. Automatic emergency braking failure: A pattern of sudden braking or swerving may indicate a problem with the vehicle’s automatic emergency braking system. An event trigger can be sent to record data from the ADAS system, allowing for further analysis and troubleshooting.
4. Blind spot monitoring failure: A pattern of sudden braking or swerving may indicate a problem with the vehicle’s blind spot monitoring system. An event trigger can be sent to record data from the ADAS system, allowing for further analysis and troubleshooting.
5. Rear cross-traffic alert failure: A pattern of sudden braking or swerving may indicate a problem with the vehicle’s rear cross-traffic alert system. An event trigger can be sent to record data from the ADAS system, allowing for further analysis and troubleshooting.
6. Lane keeping assist failure: A pattern of sudden braking or swerving may indicate a problem with the vehicle’s lane keeping assist system. An event trigger can be sent to record data from the ADAS system, allowing for further analysis and troubleshooting.
7. Forward collision warning failure: A pattern of sudden braking or swerving may indicate a problem with the vehicle’s forward collision warning system. An event trigger can be sent to record data from the ADAS system, allowing for further analysis and troubleshooting.
8. Automatic high beams failure: A pattern of sudden switching between high and low beams may indicate a problem with the vehicle’s automatic high beams system. An event trigger can be sent to record data from the ADAS system, allowing for further analysis and troubleshooting.
9. Park assist failure: A pattern of sudden braking or swerving may indicate a problem with the vehicle’s park assist system. An event trigger can be sent to record data from the ADAS system, allowing for further analysis and troubleshooting.
10. Surround view camera failure: A pattern of sudden braking or swerving may indicate a problem with the vehicle’s surround view camera system. An event trigger can be sent to record data from the ADAS system, allowing for further analysis and troubleshooting.
11. Night vision system failure: A pattern of sudden braking or swerving may indicate a problem with the vehicle’s night vision system. An event trigger can be sent to record data from the ADAS system, allowing for further analysis and troubleshooting.
12. Adaptive headlight failure: A pattern of sudden braking or swerving may indicate a problem with the vehicle’s adaptive headlight system. An event trigger can be sent to record data from the ADAS system, allowing for further analysis and troubleshooting.
13. Intelligent speed assist failure: A pattern of sudden braking or swerving may indicate a problem with the vehicle’s intelligent speed assist system. An event trigger can be sent to record data from the ADAS system, allowing for further analysis and troubleshooting.
14. Driver drowsiness detection failure: A pattern of sudden braking or swerving may indicate a problem with the vehicle’s driver drowsiness detection system. An event trigger can be sent to record data from the ADAS system, allowing for further analysis and troubleshooting.
15. Traffic sign recognition failure: A pattern of sudden braking or swerving may indicate a problem with the vehicle’s traffic sign recognition system. An event trigger can be sent to record data from the ADAS system, allowing for further analysis and troubleshooting.
16. Road departure mitigation failure: A pattern of sudden braking or swerving may indicate a problem with the vehicle’s road departure mitigation system. An event trigger can be sent to record data from the ADAS system, allowing for further analysis and troubleshooting.
17. Pedestrian detection failure: A pattern of sudden braking or swerving may indicate a problem with the vehicle’s pedestrian detection system. An event trigger can be sent to record data from the ADAS system, allowing for further analysis and troubleshooting.
18. Obstacle detection failure: A pattern of sudden braking or swerving may indicate a problem with the vehicle’s obstacle detection system. An event trigger can be sent to record data from the ADAS system, allowing for further analysis and troubleshooting.
19. Vehicle-to-vehicle communication failure: A pattern of sudden braking or swerving may indicate a problem with the vehicle’s vehicle-to-vehicle communication system. An event trigger can be sent to record data from the ADAS system, allowing for further analysis and troubleshooting.
20. Vehicle-to-infrastructure communication failure: A pattern of sudden braking or swerving may indicate a problem with the vehicle’s vehicle-to-infrastructure communication system. An event trigger can be sent to record data from the ADAS system, allowing for further analysis and troubleshooting.

Here are twenty examples of fleet queries that can be used to collect data.

1. Record data if a vehicle is driving in a lane with a broken line.
2. Record data if a vehicle is driving too close to another vehicle.
3. Record data if a vehicle is driving in the wrong direction.
4. Record data if a vehicle is driving in an area with low visibility.
5. Record data if a vehicle is driving in a construction zone.
6. Record data if a vehicle is driving in an area with heavy traffic.
7. Record data if a vehicle is driving in an area with poor road conditions.
8. Record data if a vehicle is driving in an area with heavy rain or snow.
9. Record data if a vehicle is driving in an area with heavy fog.
10. Record data if a vehicle is driving in an area with high winds.
11. Record data if a vehicle is driving in an area with a high risk of wildlife collisions.
12. Record data if a vehicle is driving in an area with a high risk of flooding.
13. Record data if a vehicle is driving in an area with a high risk of fire.
14. Record data if a vehicle is driving in an area with a high risk of landslides.
15. Record data if a vehicle is driving in an area with a high risk of avalanche.
16. Record data if a vehicle is driving in an area with a high risk of dust storms.
17. Record data if a vehicle is driving in an area with a high risk of black ice.
18. Record data if a vehicle is driving in an area with a high risk of hail.
19. Record data if a vehicle is driving in an area with a high risk of tornadoes.
20. Record data if a bike is mounted on a car.

In conclusion, collecting failure cases from a fleet of L3 ADAS vehicles is a crucial task in ensuring the safety and reliability of these systems. Edge vision analytics and fleet queries are powerful tools for collecting and analyzing.