State-of-the-art Versus Time-triggered Object Tracking in Advanced Driver Assistance Systems

International Journal of Advanced Robotic Systems

关键词: Decentralized Control;    High-Order Neural Networks;    Extended Kalman Filter;    Backstepping;   

DOI  :  10.5772/52348

学科分类：自动化工程

来源: InTech

【 摘 要 】

Most state-of-the-art driver assistance systems cannot guarantee that real-time images of object states are updated within a given time interval, because the object state observations are typically sampled by uncontrolled sensors and transmitted via an indeterministic bus system such as CAN. To overcome this shortcoming, a paradigm shift toward time-triggered advanced driver assistance systems based on a deterministic bus system, such as FlexRay, is under discussion.In order to prove the feasibility of this paradigm shift, this paper develops different models of a state-of-the-art and a time-triggered advanced driver assistance system based on multi-sensor object tracking and compares them with regard to their mean performance. The results show that while the state-of-the-art model is advantageous in scenarios with low process noise, it is outmatched by the time-triggered model in the case of high process noise, i.e., in complex situations with high dynamic.

【 授权许可】

CC BY