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About A Survey On Trajectory-Prediction Methods For Autonomous Driving
This article provides a comprehensive review of trajectory prediction methods for autonomous vehicles over the last two decades. It begins by explaining the importance of trajectory prediction for autonomous vehicle safety and outlines the problem formulation. The review then classifies and elaborately introduces popular trajectory prediction methods including physics-based methods, classic machine learning methods, deep learning methods, and reinforcement learning methods. It evaluates the performance of each type of method and discusses potential future research directions.
Detailed Information
| Author: | ['Rashmi Chelliah (RA1911026010022)'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 23 |
| Language: | English |
| Format: | |
| Price: | FREE |
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