Why Studying Cut-ins? Comparing Cut-ins and Other Lane Changes Based on Naturalistic Driving Data

no code implementations • 13 Feb 2024 • Yun Lu, Dejiang Zheng, Rong Su, Avalpreet Singh Brar, Niels de Boer, Yong Liang Guan

In this paper, we explore to compare driving characteristics of cut-ins and other lane changes based on naturalistic driving data.

Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning

no code implementations • 1 Jul 2022 • Jingda Wu, Wenhui Huang, Niels de Boer, Yanghui Mo, Xiangkun He, Chen Lv

Decisions made by human subjects in a driving simulator are treated as safe demonstrations, which are stored into the replay buffer and then utilized to enhance the training process of RL.

Autonomous Driving Decision Making +1

Optimal Placement of Roadside Infrastructure Sensors towards Safer Autonomous Vehicle Deployments

no code implementations • 4 Oct 2021 • Roshan Vijay, Jim Cherian, Rachid Riah, Niels de Boer, Apratim Choudhury

Vehicles with driving automation are increasingly being developed for deployment across the world.

Autonomous Vehicles