Abstract: This paper investigates the problem of tracking morphologically similar targets for nonlinear systems and proposes an adaptive-gain reinforcement iterative learning control (AG-RILC) scheme.

Abstract: Advanced driver assistance and autonomous systems require an enhanced perception system, fusing the data of multiple sensors. Many automotive sensors provide high-level data, such as tracked ...