Learning Terminal State of the Trajectory Planner: Application for Collision Scenarios of Autonomous Vehicles-Reference-Cited by-同舟云学术

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Learning Terminal State of the Trajectory Planner: Application for Collision Scenarios of Autonomous Vehicles

Published:2024-05-13 Issue: Volume:22 Page:7576-7582
ISSN:
Container-title:2024 IEEE International Conference on Robotics and Automation (ICRA)
language:
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Author:

Lim Joonhee¹,Lee Kibeom²,Shin Jangho³,Kum Dongsuk⁴

Affiliation:

1. Korea Advanced Institute of Science and Technology (KAIST),Robotics Program,Daejeon,Republic of Korea

2. Gachon University,Department of Mechanical Engineering,Seongnam,Republic of Korea

3. Hyundai Motor Company,Research & Development Division,Hwaseong,Republic of Korea

4. Korea Advanced Institute of Science and Technology (KAIST),The Cho Chun Shik Graduate School of Mobility,Daejeon,Republic of Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609961/10609862/10611155.pdf?arnumber=10611155

Reference28 articles.

1. Improvement of road safety using passive and active intelligent vehicle safety systems;Jarašūniene,2007

2. Collision Avoidance/Mitigation System: Motion Planning of Autonomous Vehicle via Predictive Occupancy Map

3. Development of a collision avoidance system;Seiler,1998

4. Design, tuning, and evaluation of a full-range adaptive cruise control system with collision avoidance;Moon,2009

5. Collision avoidance in on-road environment for autonomous driving

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