3D Point Cloud Processing and Learning for Autonomous Driving

03/01/2020
by   Siheng Chen, et al.
0

We present a review of 3D point cloud processing and learning for autonomous driving. As one of the most important sensors in autonomous vehicles, light detection and ranging (LiDAR) sensors collect 3D point clouds that precisely record the external surfaces of objects and scenes. The tools for 3D point cloud processing and learning are critical to the map creation, localization, and perception modules in an autonomous vehicle. While much attention has been paid to data collected from cameras, such as images and videos, an increasing number of researchers have recognized the importance and significance of LiDAR in autonomous driving and have proposed processing and learning algorithms to exploit 3D point clouds. We review the recent progress in this research area and summarize what has been tried and what is needed for practical and safe autonomous vehicles. We also offer perspectives on open issues that are needed to be solved in the future.

READ FULL TEXT

page 10

page 12

page 19

research
05/20/2020

Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review

Recently, the advancement of deep learning in discriminative feature lea...
research
09/01/2021

An Efficient Deep Learning Approach Using Improved Generative Adversarial Networks for Incomplete Information Completion of Self-driving

Autonomous driving is the key technology of intelligent logistics in Ind...
research
08/23/2018

Deconvolutional Networks for Point-Cloud Vehicle Detection and Tracking in Driving Scenarios

Vehicle detection and tracking is a core ingredient for developing auton...
research
12/15/2016

Cloud Dictionary: Sparse Coding and Modeling for Point Clouds

With the development of range sensors such as LIDAR and time-of-flight c...
research
10/26/2022

Analyzing Deep Learning Representations of Point Clouds for Real-Time In-Vehicle LiDAR Perception

LiDAR sensors are an integral part of modern autonomous vehicles as they...
research
10/13/2020

InsClustering: Instantly Clustering LiDAR Range Measures for Autonomous Vehicle

LiDARs are usually more accurate than cameras in distance measuring. Hen...
research
02/01/2023

K-D Bonsai: ISA-Extensions to Compress K-D Trees for Autonomous Driving Tasks

Autonomous Driving (AD) systems extensively manipulate 3D point clouds f...

Please sign up or login with your details

Forgot password? Click here to reset