Real-Time Object Behavior Prediction Based on LiDAR Suitable for Urban Autonomous Driving-Reference-Cited by-同舟云学术

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Real-Time Object Behavior Prediction Based on LiDAR Suitable for Urban Autonomous Driving

Published:2022-07-01 Issue:7 Volume:30 Page:589-598
ISSN:1225-6382
Container-title:Transaction of the Korean Society of Automotive Engineers
language:en
Short-container-title:KSAE

Author:

Jeong Jieun^ORCID,Kee Seok-Cheol^ORCID

Funder

Ministry of Science and ICT

Institute of Information and Communications Technology Planning and Evaluation

Ministry of Trade, Industry and Energy

Korea Institute for Advancement of Technology

Publisher

The Korean Society of Automotive Engineers

Subject

Automotive Engineering

Reference23 articles.

1. A Study of Curved Lane Detection Based on Dual Sensor Monitoring of LiDAR and Camera

2. Feature Mapping with Machine Learning Based Object Classification

3. A Study on the Parking Point Searching for Wireless Charging of Electric Vehicles

4. YOLO9000: Better, Faster, Stronger

5. Motion-based detection and tracking in 3D LiDAR scans

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Development of Infrastructure Lidar Real-time Background Removal Algorithm;Transaction of the Korean Society of Automotive Engineers;2023-12-01

2. Real-time Contaminated Surface Determination Algorithm for Automotive LiDAR Sensors;Transaction of the Korean Society of Automotive Engineers;2023-07-01

3. Performance Improvement of Deep Learning Object Detection Method Using Dynamic Occupancy Grid Map;Transaction of the Korean Society of Automotive Engineers;2022-10-01

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