Results 41 to 50 of about 4,817,825 (346)
Spatio-Contextual Deep Network-Based Multimodal Pedestrian Detection for Autonomous Driving [PDF]
IEEE transactions on intelligent transportation systems (Print), 2021 Pedestrian Detection is the most critical module of an Autonomous Driving system. Although a camera is commonly used for this purpose, its quality degrades severely in low-light night time driving scenarios.
Kinjal Dasgupta +4 more
semanticscholar +1 more source
Vision-based analysis of pedestrian traffic data [PDF]
, 2008 Reducing traffic congestion has become a major issue within urban environments. Traditional approaches, such as increasing road sizes, may prove impossible in certain scenarios, such as city centres, or ineffectual if current predictions of large growth ...
O'Connor, Noel E. +5 more
core +1 more source
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
doaj +1 more source
Real‐time 3D multi‐pedestrian detection and tracking using 3D LiDAR point cloud for mobile robot
ETRI Journal, 2023 Mobile robots are used in modern life; however, object recognition is still insufficient to realize robot navigation in crowded environments. Mobile robots must rapidly and accurately recognize the movements and shapes of pedestrians to navigate safely ...
Ki‐In Na, B. Park
semanticscholar +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Detection of pedestrians at far distance [PDF]
2016 IEEE International Conference on Robotics and Automation (ICRA), 2016 Pedestrian detection is a well-studied problem. Even though many datasets contain challenging case studies, the performances of new methods are often only reported on cases of reasonable difficulty. In particular, the issue of small scale pedestrian detection is seldom considered. In this paper, we focus on the detection of small scale pedestrians, i.e.
Rudy Bunel, Franck Davoine, Philippe Xu
openaire +1 more source
Deep Learning-Based Pedestrian Detection in Autonomous Vehicles: Substantial Issues and Challenges
Electronics, 2022 In recent years, autonomous vehicles have become more and more popular due to their broad influence over society, as they increase passenger safety and convenience, lower fuel consumption, reduce traffic blockage and accidents, save costs, and enhance ...
Sundas Iftikhar +5 more
semanticscholar +1 more source
Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems [PDF]
European Conference on Computer Vision, 2020 Multispectral pedestrian detection is capable of adapting to insufficient illumination conditions by leveraging color-thermal modalities. On the other hand, it is still lacking of in-depth insights on how to fuse the two modalities effectively.
Kailai Zhou, Linsen Chen, Xun Cao
semanticscholar +1 more source