3D YOLO: End-to-End 3D Object Detection Using Point Clouds

3D YOLO: End-to-End 3D Object Detection Using Point Clouds

For safe and reliable driving, it is essential that an autonomous vehicle can accurately perceive the surrounding environment. Modern sensor technologies used for perception, such as LiDAR and RADAR, deliver a large set of 3D measurement points known as a point cloud. There is a huge need to interpr...

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Bibliographic Details
Main Author: Al Hakim, Ezeddin
Format: Others
Language:English
Published: KTH, Skolan för elektroteknik och datavetenskap (EECS) 2018
Subjects:
Computer vision
Machine Learning
Autonomous Vehicles
Autonomous Cars
Lider
Point Cloud
Deep Learning
Object Detection
YOLO
Computer Sciences
Datavetenskap (datalogi)
Computer Vision and Robotics (Autonomous Systems)
Datorseende och robotik (autonoma system)
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-234242

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-234242

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