Pseudo vision: end-to-end autonomous driving with 2D LiDAR
This Project introduced a novel data representation called Pseudo Vision that enables End-to-end Autonomous Driving using 2D LiDAR as the sole sensor for the perception of the vehicle’s surroundings. Pseudo Vision is interoperable across 2D LiDARs of any Points Per Scan (PPS) and allows an explainab...
Saved in:
Main Author: | Chau, Yuan Qi |
---|---|
Other Authors: | Heng Kok Hui, John Gerard |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/163470 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
LiDAR-based 3D object detection and tracking for autonomous driving
by: Luo, Zhipeng
Published: (2024) -
LiDAR-based multi-task road perception network for autonomous vehicles
by: Yan, Fuwu, et al.
Published: (2021) -
Extrinsic calibration between multiple 3D LiDARs for autonomous robots
by: Lyu, Qiyang
Published: (2021) -
End-to-end autonomous driving based on reinforcement learning
by: Beh, Chun Jye
Published: (2020) -
End-to-end autonomous driving based on machine learning
by: Teo, Ren Hao
Published: (2023)