Root Cause Analysis for ADAS Performance Deviations
Sensor benchmarking: objectively evaluate sensor performance
When an ADAS function does not respond as expected, the cause does not necessarily lie in the function software. Sensor quality, environmental conditions, and sensor data processing influence the performance of the overall system. Through KPI-based sensor benchmarking, we make sensor performance objectively measurable and determine whether performance deviations can be attributed to the sensors or originate at the function or system level.
- Does the sensor detect traffic signs reliably and in time to ensure that the driving function is executed correctly?
- How reliably does the sensor detect lane markings – even under challenging visibility and environmental conditions?
- What impact does sensor data quality have on the performance of the ADAS function?
Why ADAS performance deviations require analysis at the sensor level
You hand over control to the Lane Keeping Assist System (LKAS), but the vehicle leaves the lane while cornering. Is the cause in the function software – or did the camera detect the lane marking too late, incompletely, or incorrectly?
Performance deviations of an ADAS function cannot be reliably assessed without considering the underlying sensor performance. Sensor benchmarking reveals how reliably sensors capture relevant environmental information and what impact their performance has on the behavior of the overall function.
Our sensor benchmarking services at a glance
- Development of sensor-specific KPIs – Definition of objective evaluation criteria for the performance of camera, radar, lidar, and ultrasonic sensors.
- Sensor evaluation in the functional context – Analysis of sensor performance in direct relation to the behavior of the respective ADAS function.
- Ground-truth-based evaluation – Comparison of sensor data with high-precision reference data to objectively determine actual sensor performance.
- Analysis under real-world environmental conditions – Evaluation of sensor performance under varying road, visibility, weather, and environmental conditions.
- Real-time analysis of sensor data – Capture and evaluation of relevant sensor data directly during the test drive.
- Sensor cluster and root cause analysis – Analysis of the interaction between multiple sensors to identify weaknesses and the causes of performance deviations.
Benefits of sensor benchmarking
- Clear root cause analysis reveals whether ADAS performance deviations originate from the sensors or at the function or system level.
- Objective sensor KPIs and ground-truth data provide a robust basis for decision-making in targeted function development.
- Early identification of weaknesses enables targeted optimization and reduces time-consuming troubleshooting later in the development process.
Determine whether ADAS performance deviations can be attributed to the sensors and establish a robust basis for targeted function optimization. Let’s talk about your sensor benchmarking.