Explanation of Perception Performance in ADAS and AD

This white paper explains the performance of perception systems in Advanced Driver Assistance Systems (ADAS) and autonomous driving (AD). It outlines the challenges faced by ADAS developers, particularly in enhancing system reliability and performance. The document details key performance indicators (KPIs) that are critical for evaluating sensor fusion and perception systems, including false alarms, object separation, occluded object detection, range, and operation in adverse conditions. The paper emphasizes the importance of understanding these KPIs to develop robust ADAS features. It also discusses how LeddarTech’s low-level sensor fusion technology addresses these challenges by improving recall and precision, thereby reducing false alarms and enhancing detection capabilities. The conclusion highlights the significance of perception systems in the evolving landscape of automated mobility and their role in achieving high performance ratings in safety assessments.