System Identification Techniques to Improve ADAS Feature Performance
2022-01-0093
03/29/2022
- Event
- Content
- The advances in automotive technology continue to deliver safety and driving comfort benefits to the society. The Automated Driving Assistance System (ADAS) technology is at forefront of this evolution. Today, various vehicle models on the road have features like lane centering, automated emergency braking, adaptive cruise control, traffic jam assist etc. During early development, such feature algorithms often assume ideal environmental and vehicle conditions while doing performance evaluation. The lane centering ADAS feature performance in a test vehicle was studied. The feature considered here is an end-to-end feature, i.e., from camera sensor output to steering actuation. Lane centering control system often has multiple control loops within the vehicle system. The delay in steering system response has a significant effect on overall lane centering performance and driver feel. This study focuses on understanding effect of EPS behavior and vehicle lateral dynamics on overall ADAS feature performance. System identification techniques were used to understand EPS dynamics as well as vehicle lateral dynamics. Furthermore, the plant models identified were further used to improve lane centering performance in-vehicle.
- Citation
- Awathe, A., Varunjikar, T., and Ganguli, S., "System Identification Techniques to Improve ADAS Feature Performance," SAE Technical Paper 2022-01-0093, 2022, .