Resource-Constrained Onboard Inference of 3D Object Detection and Localisation in Point Clouds Targeting Self-Driving Applications

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 Authors: António Silva, Duarte Fernandes, Rafael Névoa, João Monteiro, Paulo Novais, Pedro Girão, Tiago Afonso, Pedro Melo-Pinto
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Sensors
Subjects:
autonomous driving
deep learning methods
LiDAR scanners
3D object detection
onboard inference
quantisation methods
Online Access:https://www.mdpi.com/1424-8220/21/23/7933

Internet

https://www.mdpi.com/1424-8220/21/23/7933

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