Online Obstacle Trajectory Prediction for Autonomous Buses
We tackle the problem of achieving real-world autonomous driving for buses, where the task is to perceive nearby obstacles and predict their motion in the time ahead, given current and past information of the object. In this paper, we present the development of a modular pipeline for the long-term p...
Main Authors: | Yue Linn Chong, Christina Dao Wen Lee, Liushifeng Chen, Chongjiang Shen, Ken Kok Hoe Chan, Marcelo H. Ang |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-03-01
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Series: | Machines |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-1702/10/3/202 |
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