Resource-constrained onboard inference of 3D object detection and localisation in point clouds targeting self-driving applications

Research about deep learning applied in object detection tasks in LiDAR data has been massively widespread in recent years, achieving notable developments, namely in improving precision and inference speed performances. These improvements have been facilitated by powerful GPU servers, taking advanta...

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Bibliographic Details
Main Author: Silva, António José Linhares (author)
Other Authors: Fernandes, Duarte (author), Névoa, Rafael Augusto Cunha Costinha (author), Monteiro, João L. (author), Novais, Paulo (author), Girão, Pedro (author), Afonso, Tiago (author), Melo-Pinto, Pedro (author)
Format: article
Language:eng
Published: 2021
Subjects:
Autonomous driving
Deep learning methods
LiDAR scanners
3D object detection
Onboard inference
Quantisation methods
Science & Technology
Online Access:https://hdl.handle.net/1822/76714
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/76714

Internet

https://hdl.handle.net/1822/76714

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