Results 61 to 70 of about 4,698,050 (307)

Research on Pedestrian Detection and DeepSort Tracking in Front of Intelligent Vehicle Based on Deep Learning

Sustainability, 2022
In order to improve the tracking failure caused by small-target pedestrians and partially blocked pedestrians in dense crowds in complex environments, a pedestrian target detection and tracking method for an intelligent vehicle was proposed based on deep
Xuewen Chen, Yuan Jia, Xiaoqi Tong, Zirou Li   +3 more
semanticscholar   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

Lessons Learned From a Delayed‐Start Trial of Modafinil for Freezing of Gait in Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Freezing of gait (FOG) in people with Parkinson's disease (PwPD) is debilitating and has limited treatments. Modafinil modulates beta/gamma band activity in the pedunculopontine nucleus (PPN), like PPN deep brain stimulation. We therefore tested the hypothesis that Modafinil would improve FOG in PwPD.
Tuhin Virmani, Lakshmi Pillai, Reid D. Landes, Aliyah Glover, Shannon Doerhoff, Jennifer Kleiner, Mitesh Lotia, Rohit Dhall, Edgar Garcia‐Rill   +8 more
wiley   +1 more source

Surrogate safety evaluation of incorrect pedestrian detection at signalized intersections

Traffic Safety Research
The design and operations of signalized intersections are critical for the safety and mobility of all road users. Traditionally, video detection systems have surpassed conventional inductive loops in vehicle detection, offering advantages such as user ...
Slavica Gavric, Ismet Goksad Erdagi, Aleksandar Stevanovic   +2 more
doaj   +1 more source

PED-AI: Pedestrian Detection for Autonomous Vehicles using YOLOv5 [PDF]

E3S Web of Conferences
Pedestrian detection is crucial for autonomous vehicles, surveillance, and pedestrian safety. This abstract introduces a novel pedestrian detection method using the YOLOv5 algorithm, known for its real-time object detection prowess.
Malbog Mon Arjay, Marasigan Rufo Jr., Mindoro Jennalyn, Mortos Yuneza Claire, Ilustre Lois Fernando   +4 more
doaj   +1 more source

PVswin-YOLOv8s: UAV-Based Pedestrian and Vehicle Detection for Traffic Management in Smart Cities Using Improved YOLOv8

Drones
In smart cities, effective traffic congestion management hinges on adept pedestrian and vehicle detection. Unmanned Aerial Vehicles (UAVs) offer a solution with mobility, cost-effectiveness, and a wide field of view, and yet, optimizing recognition ...
Noor Ul Ain Tahir, Zhe Long, Zuping Zhang, M. Asim, Mohammed Elaffendi   +4 more
semanticscholar   +1 more source

Adaptive Fusion of Multi-Scale YOLO for Pedestrian Detection

IEEE Access, 2021
Although pedestrian detection technology is constantly improving, pedestrian detection remains challenging because of the uncertainty and diversity of pedestrians in different scales and of occluded pedestrian modes.
Wei-Yen Hsu, Wen-Yen Lin
semanticscholar   +1 more source

Pedestrian detection: A benchmark [PDF]

2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009
Pedestrian detection is a key problem in computer vision, with several applications including robotics, surveillance and automotive safety. Much of the progress of the past few years has been driven by the availability of challenging public datasets.
Dollár, Piotr, Wojek, Christian, Schiele, Bernt, Perona, Pietro   +3 more
openaire   +2 more sources

Super‐Refractory Status Epilepticus (SRSE) in a Patient With Compound Heterozygous OPA1 Variants: Case Report and Literature Review

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi, Lara Basovic, Christopher Michael McGraw   +2 more
wiley   +1 more source

A Lightweight Pedestrian Detection Engine with Two-Stage Low-Complexity Detection Network and Adaptive Region Focusing Technique

Sensors, 2021
Pedestrian detection has been widely used in applications such as video surveillance and intelligent robots. Recently, deep learning-based pedestrian detection engines have attracted lots of attention.
Luying Que, Teng Zhang, Hongtao Guo, Conghan Jia, Yuchuan Gong, Liang Chang, Jun Zhou   +6 more
doaj   +1 more source