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Hybrid trajectory planning for autonomous racing

Planning, Autonomous Racing

Year

2023

Workspace

-



About the Research

- Decision-tree based maneuver decision
- Overtake decision based on object types
- Compare with ego vehicle’s predicted motion with surroundings’ predicted motion
- Sampling and optimization-based trajectory planning
- Sampling-based lateral candidate generation
- Optimization-based longitudinal motion optimization for each lateral candidates

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E  kichunjo@hanyang.ac.kr

T  02-2220-0449 

A  Room #506, Chung Mong-Koo Automotive Research Center,

     222, Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic of Korea

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