Fast vehicle detection based on colored point cloud with bird’s eye view representation

Lele Wang; Yingping Huang

doi:10.1038/s41598-023-34479-z

ScienceGate Book Chapters

JOURNAL ARTICLE

Fast vehicle detection based on colored point cloud with bird’s eye view representation

Lele Wang Yingping Huang

Year: 2023 Journal: Scientific Reports Vol: 13 (1)Pages: 7447-7447 Publisher: Nature Portfolio

DOI: 10.1038/s41598-023-34479-z

Get Full-Text PDF Get Analytical Report

Keywords:

Point cloud Computer science Artificial intelligence Computer vision RGB color model Feature (linguistics) Benchmark (surveying) Sensor fusion Lidar Colored Remote sensing Geography

Metrics

Cited By

0.36

FWCI (Field Weighted Citation Impact)

Refs

0.51

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Remote Sensing and LiDAR Applications

Physical Sciences → Environmental Science → Environmental Engineering

Robotics and Sensor-Based Localization

Physical Sciences → Engineering → Aerospace Engineering

Fast vehicle detection based on colored point cloud with bird’s eye view representation

Metrics

Citation History

Topics

Related Documents

PV-EncoNet: Fast Object Detection Based on Colored Point Cloud

Bird’s-Eye-View-Based LiDAR Point Cloud Coding For Machines

DC-BEV: A LiDAR point cloud vehicle detection network with direction information in Bird’s-Eye-View via Cross-Shaped Window

Accurate 3D Object Detection from Point Cloud Data using Bird’s Eye View Representations

BEV-Net: A Bird’s Eye View Object Detection Network for LiDAR Point Cloud