Results 51 to 60 of about 4,817,825 (346)
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
semanticscholar +1 more source
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
doaj +1 more source
YOLOv8-CB: Dense Pedestrian Detection Algorithm Based on In-Vehicle Camera
ElectronicsRecently, the field of vehicle-mounted visual intelligence technology has witnessed a surge of interest in pedestrian detection. Existing algorithms for dense pedestrian detection at intersections face challenges such as high computational weight ...
Qiuli Liu +3 more
semanticscholar +1 more source
Robustness Analysis of Pedestrian Detectors for Surveillance
IEEE Access, 2018 To obtain effective pedestrian detection results in surveillance video, there have been many methods proposed to handle the problems from severe occlusion, pose variation, clutter background, and so on.
Yuming Fang +4 more
doaj +1 more source
A Shallow–Deep Feature Fusion Method for Pedestrian Detection
Applied Sciences, 2021 In this paper, a shallow–deep feature fusion (SDFF) method is developed for pedestrian detection. Firstly, we propose a shallow feature-based method under the ACF framework of pedestrian detection.
Daxue Liu, Kai Zang, Jifeng Shen
doaj +1 more source
Scale Invariant Mask R-CNN for Pedestrian Detection
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2020 Pedestrian detection is a challenging and active research area in computer vision. Recognizing pedestrians helps in various utility applications such as event detection in overcrowded areas, gender, and gait classification, etc.
Ujwalla H Gawande +2 more
doaj +1 more source
On-Board Detection of Pedestrian Intentions [PDF]
Sensors, 2017 Avoiding vehicle-to-pedestrian crashes is a critical requirement for nowadays advanced driver assistant systems (ADAS) and future self-driving vehicles. Accordingly, detecting pedestrians from raw sensor data has a history of more than 15 years of research, with vision playing a central role.
Zhijie Fang +2 more
openaire +6 more sources
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
semanticscholar +1 more source
, 2009 This paper describes an improved stereovision system for the anticipated detection of car-to-pedestrian accidents. An improvement of the previous versions of the pedestrian-detection system is achieved by compensation of the camera's pitch angle, since ...
Naranjo Hernández, José Eugenio +5 more
core +1 more source
Scale-Aware Hierarchical Detection Network for Pedestrian Detection
IEEE Access, 2020 Several or even dozens of times spatial scale variation is one of the major bottleneck for pedestrian detection. Although the Region-based Convolutional Neural Network (R-CNN) families have shown promising results for object detection, they are still ...
Xiaowei Zhang +2 more
doaj +1 more source