Learning to see through the haze: Multi-sensor learning-fusion System for Vulnerable Traffic Participant Detection in Fog-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Learning to see through the haze: Multi-sensor learning-fusion System for Vulnerable Traffic Participant Detection in Fog

Published:2021-02 Issue: Volume:136 Page:103687
ISSN:0921-8890
Container-title:Robotics and Autonomous Systems
language:en
Short-container-title:Robotics and Autonomous Systems

Author:

Broughton George^ORCID,Majer Filip,Rouček Tomáš^ORCID,Ruichek Yassine,Yan Zhi^ORCID,Krajník Tomáš

Funder

Grantová Agentura České Republiky

Ministère de l'Europe et des Affaires Étrangères

Ministerstvo Školství, Mládeže a Tělovýchovy

Publisher

Elsevier BV

Subject

Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference48 articles.

1. There are Some Scary Similarities between Tesla’s Deadly Crashes Linked to Autopilot;Horwitz,2016

2. Enabling pedestrian safety using computer vision techniques: A case study of the 2018 Uber Inc. self-driving car crash;Kohli,2019

3. A sensor fusion layer to cope with reduced visibility in SLAM;Santos;J. Intell. Robot. Syst.,2015

4. A benchmark for lidar sensors in fog: Is detection breaking down?;Bijelic,2018

5. Raindrop removal with light field image using image inpainting;Yang;IEEE Access,2020

Cited by 14 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. 3D ToF LiDAR for Mobile Robotics in Harsh Environments: A Review;Unmanned Systems;2024-06-22

2. Tracking Multiple Vehicles with a Flexible Life Cycle Strategy Based on Roadside LiDAR Sensors;Journal of Transportation Engineering, Part A: Systems;2024-04

3. Qualification of the PAVIN Fog and Rain Platform and Its Digital Twin for the Evaluation of a Pedestrian Detector in Fog;Journal of Imaging;2023-10-03

4. Efficient Online Transfer Learning for Road Participants Detection in Autonomous Driving;IEEE Sensors Journal;2023-10-01

5. Learn to Model and Filter Point Cloud Noise for a Near-Infrared ToF LiDAR in Adverse Weather;IEEE Sensors Journal;2023-09-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3