PBTA: Partial Break Triplet Attention Model for Small Pedestrian Detection Based on Vehicle Camera Sensors-Reference-Cited by-同舟云学术

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PBTA: Partial Break Triplet Attention Model for Small Pedestrian Detection Based on Vehicle Camera Sensors

Published:2024-07-01 Issue:13 Volume:24 Page:21628-21640
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Sha Xiaopeng¹^ORCID,Guo Zhoupeng²,Guan Zheng²,Li Wenchao²,Wang Shuyu¹^ORCID,Zhao Yuliang¹^ORCID

Affiliation:

1. Hebei Key Laboratory of Micro-Nano Precision Optical Sensing and Measurement Technology and the School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, China

2. School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hebei Province

Hebei Province Graduate Innovation Capability Cultivation Project

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10577556/10530563.pdf?arnumber=10530563

Reference50 articles.

1. Detection of Road Objects Based on Camera Sensors for Autonomous Driving in Various Traffic Situations

2. Pedestrian/Vehicle Detection Using a 2.5-D Multi-Layer Laser Scanner

3. LiDAR/camera sensor fusion technology for pedestrian detection

4. The Use of Thermal Cameras for Pedestrian Detection

5. RGB-D People Detection and Tracking from Small-Footprint Ground Robots

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