Blind Spot Detection Testing (BSDT) use cameras, radar sensors, light detection or ultrasonic systems to warn a driver whenever another object enters the blind spot area of a car.
With real-time measurement of parameters from up to four vehicles and at better than 2 cm positional accuracy, the test system allows manufacturers to verify the effectiveness of their Blind Spot Detection system easily and reliably.
ADAS blind spot detection testing involves evaluating the system’s ability to detect and warn drivers about vehicles or objects in their blind spots. Here is a detailed framework for testing ADAS blind spot detection systems:
1. Testing Objectives
- Functionality: Ensure the system accurately detects objects in the blind spot.
- Reliability: Validate the system’s performance under diverse conditions.
- Compliance: Verify the system adheres to regulatory standards and manufacturer specifications.
2. Testing Environment
- Controlled Track Testing: Closed tracks provide a safe and repeatable environment.
- Real-World Testing: Validate the system in real-world scenarios, including urban and highway environments.
- Simulations: Use virtual simulations for testing edge cases or hazardous scenarios.
3. Test Scenarios
Static Object Detection
- Place stationary targets (e.g., reflective markers or dummy vehicles) in the blind spot zone.
- Verify system alerts with different target sizes and positions.
Dynamic Object Detection
- Introduce moving vehicles or objects into the blind spot at varying speeds and trajectories.
- Test common scenarios:
- Vehicle approaching from the rear.
- Vehicle passing at high speed.
- Vehicle maintaining position in the blind spot.
Multi-Lane Scenarios
- Test in multi-lane setups to check if the system differentiates between adjacent lanes and objects.
Merging and Lane Changes
- Assess the system’s response during merging or lane-changing maneuvers by the test vehicle or other vehicles.