Results 41 to 50 of about 4,698,050 (307)
DETECTION OF PEDESTRIAN ACTIONS BASED ON DEEP LEARNING APPROACH
Studia Universitatis Babes-Bolyai: Series Informatica, 2019 The pedestrian detection has attracted considerable attention from research due to its vast applicability in the field of autonomous vehicles. In the last decade, various investigations were made to find an optimal solution to detect the pedestrians ...
D˘anu¸t Ovidiu POP
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Italian National Conference on Sensors, 2022 Detecting pedestrians in autonomous driving is a safety-critical task, and the decision to avoid a a person has to be made with minimal latency. Multispectral approaches that combine RGB and thermal images are researched extensively, as they make it ...
Kamil Roszyk +2 more
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Underground pedestrian detection model based on Dense-YOLO network
Gong-kuang zidonghua, 2022 The pedestrian detection is a key technology to realize unmanned mining vehicles. The visibility of images captured in low light environment in coal mine is poor, which greatly affects the effect of pedestrian detection. The existing pedestrian detection
ZHANG Mingzhen
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YOLO-Based Multi-Modal Weighted Fusion Pedestrian Detection Algorithm [PDF]
Jisuanji gongcheng, 2021 The performance of single-modal pedestrian detection algorithms based on visible images is limited in the cases of insufficient light at night, lack of information caused by target occlusion, and multi-scale targets. In order to improve the robustness of
SHI Zheng, MAO Li, SUN Jun
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F2DNet: Fast Focal Detection Network for Pedestrian Detection [PDF]
International Conference on Pattern Recognition, 2022 Two-stage detectors are state-of-the-art in object detection as well as pedestrian detection. However, the current two-stage detectors are inefficient as they do bounding box regression in multiple steps i.e.
Abdul Hannan Khan +3 more
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Replacing the human driver: An objective benchmark for occluded pedestrian detection
Biomimetic Intelligence and Robotics, 2023 Early detection of vulnerable road users is a crucial requirement for autonomous vehicles to meet and exceed the object detection capabilities of human drivers.
Shane Gilroy +4 more
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IEEE transactions on multimedia, 2021 Coronavirus Disease 2019 (COVID-19) is a highly infectious virus that has created a health crisis for people all over the world. Social distancing has proved to be an effective non-pharmaceutical measure to slow down the spread of COVID-19.
Z. Shao +5 more
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Saliency-Based Pedestrian Detection in Far Infrared Images
IEEE Access, 2017 Night time pedestrian detection is more and more important in advanced driver assistant systems (ADAS). Traditional pedestrian detection algorithms in far infrared (FIR) images lack accuracy and have long processing times. Focusing on this issue, in this
Yingfeng Cai +3 more
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Shape-based pedestrian detection [PDF]
Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511), 2002 This paper presents the method for detecting pedestrian recently implemented on the ARGO vehicle. The perception of the environment is performed through the sole processing of images acquired from a vision system installed on board of the vehicle: the analysis of a monocular image delivers a first coarse detection, while a distance refinement is ...
A. Broggi +3 more
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Accelerate High Resolution Image Pedestrian Detection With Non-Pedestrian Area Estimation
IEEE Access, 2021 Detecting pedestrians at high speed in high resolution (HR) images is important for preventing collisions in autonomous vehicle. The HR images provide more detail information while creating a heavy computational load, resulting in slower detection speed.
Haodi Zhang +3 more
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