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This paper presents a HiL test bench specifically designed for closed-loop testing of the monocular-vision based ADAS sensors, whereby the animated pictures of the virtual scene is calibrated and projected onto a 120-degree circular screen, such that the camera sensor installed has the same vision as the observation of the real-world scene. A high-fidelity AEBs model is established and deployed in the real-time target of the HiL system, making intervention decisions based on the instance-level detection information transmitted from the physical sensor. By referring to the 2018 edition of the C-NCAP testing protocol, the HiL tests of the rear-end collision scenarios is performed to investigate the performance and characteristics of the longitudinal-motion sensing of the sensor sample under test.

This paper presents a unified creep-speed controller specifically designed for the automated parking system of an automated manual transmission vehicle, whereby the engine management system, transmission control unit, and electronic stability control system can work cooperatively and harmoniously within the same control framework. First, a novel reference speed generator is designed and employs sinusoidal functions to produce the speed profile based on the maneuver-dependent distances computed by a path planner, such that the lag in vehicle response during start-up can be effectively reduced. Second, a well-tuned PID controller is adopted to determine the resultant longitudinal force in attempt to follow the reference speed and eliminate the distance error during the parking maneuvers.