Computer vision applications in intelligent transportation systems: a survey
As technology continues to develop, computer vision (CV) applications are becoming
increasingly widespread in the intelligent transportation systems (ITS) context. These …
increasingly widespread in the intelligent transportation systems (ITS) context. These …
Vision-based traffic accident detection and anticipation: A survey
Traffic accident detection and anticipation is an obstinate road safety problem and
painstaking efforts have been devoted. With the rapid growth of video data, Vision-based …
painstaking efforts have been devoted. With the rapid growth of video data, Vision-based …
Object detection in traffic videos: A survey
H Ghahremannezhad, H Shi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Traffic video analytics has become one of the core components in the evolution of
transportation systems. Artificially intelligent traffic management systems apply computer …
transportation systems. Artificially intelligent traffic management systems apply computer …
Video Anomaly Detection: A Systematic Review of Issues and Prospects
The increase in the deployment of surveillance camera in outdoor and indoor settings have
resulted in a growing demand for intelligent systems that can accurately detect and …
resulted in a growing demand for intelligent systems that can accurately detect and …
Smart city transportation: Deep learning ensemble approach for traffic accident detection
VA Adewopo, N Elsayed - IEEE Access, 2024 - ieeexplore.ieee.org
The dynamic and unpredictable nature of road traffic necessitates effective accident
detection methods for enhancing safety and streamlining traffic management in smart cities …
detection methods for enhancing safety and streamlining traffic management in smart cities …
STRIDE: Street View-based Environmental Feature Detection and Pedestrian Collision Prediction
This paper introduces a novel benchmark to study the impact and relationship of built
environment elements on pedestrian collision prediction, intending to enhance …
environment elements on pedestrian collision prediction, intending to enhance …
Autonomous pedestrian detection for crowd surveillance using deep learning framework
Pedestrian detection is crucial for crowd surveillance applications and cyber-physical
systems that can deliver timely and sophisticated solutions, especially with applications like …
systems that can deliver timely and sophisticated solutions, especially with applications like …
A deep learning-based car accident detection approach in video-based traffic surveillance
X Wu, T Li - Journal of Optics, 2024 - Springer
Car accident detection plays a crucial role in video-based traffic surveillance systems,
contributing to prompt response and improved road safety. In the literature, various methods …
contributing to prompt response and improved road safety. In the literature, various methods …
YOLOv7-3D: A Monocular 3D Traffic Object Detection Method from a Roadside Perspective
Z Ye, H Zhang, J Gu, X Li - Applied Sciences, 2023 - mdpi.com
Current autonomous driving systems predominantly focus on 3D object perception from the
vehicle's perspective. However, the single-camera 3D object detection algorithm in the …
vehicle's perspective. However, the single-camera 3D object detection algorithm in the …
Who was wrong? an object detection based responsibility assessment system for crossroad vehicle collisions
Car crashes, known also as vehicle collisions, are recurrent events that occur every day. As
long as vehicles exist, vehicle collisions will, unfortunately, continue to occur. When a car …
long as vehicles exist, vehicle collisions will, unfortunately, continue to occur. When a car …