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Han-Shue Tan

Researcher at University of California, Berkeley

Publications -  111
Citations -  3563

Han-Shue Tan is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Vehicle dynamics & Control system. The author has an hindex of 29, co-authored 111 publications receiving 3333 citations.

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Demonstration of integrated longitudinal and lateral control for the operation of automated vehicles in platoons

TL;DR: The design and experimental implementation of an integrated longitudinal and lateral control system for the operation of automated vehicles in platoons and the design of an on-board supervisor that utilizes inter-vehicle communication and coordinates theoperation of the lateral and longitudinal controllers in order to execute entry and exit maneuvers are presented.
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DGPS-Based Vehicle-to-Vehicle Cooperative Collision Warning: Engineering Feasibility Viewpoints

TL;DR: The goals of this paper are providing an engineering argument of possible functional architectures of such systems and presenting a plausible example of the proposed future-trajectory-based design, which estimates and communicates vehicle positions and predicts and processes future trajectories for collision decision making.
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Analysis of automatic steering control for highway vehicles with look-down lateral reference systems

TL;DR: In this paper, the steering control for passenger cars on automated highways is analyzed, concentrating on look-down reference systems, and the limitations of pure output-feedback of lateral vehicle displacement from the road reference are examined under practical constraints and performance requirements like robustness, maximum lateral error and comfort.
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Robust automatic steering control for look-down reference systems with front and rear sensors

TL;DR: A robust control design for automatic steering of passenger cars is described and the performance and robustness of the final controller was verified experimentally at California PATH in a series of test runs.
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A Low-Order DGPS-Based Vehicle Positioning System Under Urban Environment

TL;DR: In this paper, the authors explored the feasibility of a low-order vehicle positioning system functioning under an urban environment by utilizing a vehicle model-based extended Kalman filter (EKF) to incorporate in-vehicle motion sensors.