H
Hans Andersen
Researcher at National University of Singapore
Publications - 18
Citations - 794
Hans Andersen is an academic researcher from National University of Singapore. The author has contributed to research in topics: Control theory & Overtaking. The author has an hindex of 10, co-authored 18 publications receiving 543 citations. Previous affiliations of Hans Andersen include Aalborg University.
Papers
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Journal ArticleDOI
Perception, Planning, Control, and Coordination for Autonomous Vehicles
Scott Pendleton,Hans Andersen,Xinxin Du,Xiaotong Shen,Malika Meghjani,You Hong Eng,Daniela Rus,Marcelo H. Ang +7 more
TL;DR: In this paper, the authors provide a general overview of the recent developments in the realm of autonomous vehicle software systems, and discuss the fundamental components of the software, as well as recent developments of each area.
Proceedings ArticleDOI
Pedestrian Notification Methods in Autonomous Vehicles for Multi-Class Mobility-on-Demand Service
TL;DR: Methods of conveying perception information and motion intention from self driving vehicles to the surrounding environment are described and the performance of the autonomous vehicles as social robots is improved by building trust and engagement with interacting pedestrians.
Proceedings ArticleDOI
Autonomous golf cars for public trial of mobility-on-demand service
Scott Pendleton,Tawit Uthaicharoenpong,Zhuang Jie Chong,Guo Ming James Fu,Baoxing Qin,Wei Liu,Xiaotong Shen,Zhiyong Weng,Cody Kamin,Mark Adam Ang,Lucas Tetsuya Kuwae,Katarzyna Anna Marczuk,Hans Andersen,Mengdan Feng,Gregory Butron,Zhuang Zhi Chong,Marcelo H. Ang,Emilio Frazzoli,Daniela Rus +18 more
TL;DR: In this paper, the design of autonomous golf cars which were used in public trials in Singapore's Chinese and Japanese Gardens, for the purpose of raising public awareness and gaining user acceptance of autonomous vehicles.
Proceedings ArticleDOI
Trajectory optimization for autonomous overtaking with visibility maximization
Hans Andersen,Wilko Schwarting,Felix Naser,You Hong Eng,Marcelo H. Ang,Daniela Rus,Javier Alonso-Mora +6 more
TL;DR: A trajectory generation method for autonomous overtaking of static obstacles in a dynamic urban environment that can maximize visibility, prioritizes safety and respects the boundaries of the road while executing the maneuver is presented.
Proceedings ArticleDOI
Geometric path tracking algorithm for autonomous driving in pedestrian environment
TL;DR: The experimental result shows that the new algorithm reduces the root mean square (RMS) cross track error for the same given pre-programmed path by up to 46 percent, while having virtually no extra computational cost, and still maintaining the chatter free property of the original pure pursuit controller.