Automated Safety Diagnosis Based on Unmanned Aerial Vehicle Video and Deep Learning Algorithm
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Automated Safety Diagnosis Based on Unmanned Aerial Vehicle Video and Deep Learning Algorithm
Authors
Keywords
-
Journal
TRANSPORTATION RESEARCH RECORD
Volume -, Issue -, Pages 036119812092580
Publisher
SAGE Publications
Online
2020-06-19
DOI
10.1177/0361198120925808
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Deployment of roadside units to overcome connectivity gap in transportation networks with mixed traffic
- (2020) Ye Li et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Extracting Vehicle Trajectories Using Unmanned Aerial Vehicles in Congested Traffic Conditions
- (2019) Eui-Jin Kim et al. JOURNAL OF ADVANCED TRANSPORTATION
- Developing a Crash Warning System for the Bike Lane Area at Intersections with Connected Vehicle Technology
- (2019) Yina Wu et al. TRANSPORTATION RESEARCH RECORD
- Speed Estimation of Multiple Moving Objects from a Moving UAV Platform
- (2019) Debojit Biswas et al. ISPRS International Journal of Geo-Information
- The Practical Effectiveness of Advanced Driver Assistance Systems at Different Roadway Facilities: System Limitation, Adoption, and Usage
- (2019) Lishengsa Yue et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Traffic conflict models to evaluate the safety of signalized intersections at the cycle level
- (2018) Mohamed Essa et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- The impacts of heavy rain on speed and headway Behaviors: An investigation using the SHRP2 naturalistic driving study data
- (2018) Mohamed M. Ahmed et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Developing an algorithm to assess the rear-end collision risk under fog conditions using real-time data
- (2018) Yina Wu et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- An Enhanced Viola-Jones Vehicle Detection Method From Unmanned Aerial Vehicles Imagery
- (2017) Yongzheng Xu et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Car Detection from Low-Altitude UAV Imagery with the Faster R-CNN
- (2017) Yongzheng Xu et al. JOURNAL OF ADVANCED TRANSPORTATION
- Automated Traffic Surveillance System with Aerial Camera Arrays Imagery: Macroscopic Data Collection with Vehicle Tracking
- (2017) Xi Zhao et al. JOURNAL OF COMPUTING IN CIVIL ENGINEERING
- Vehicle Detection in Aerial Images Based on Region Convolutional Neural Networks and Hard Negative Example Mining
- (2017) Tianyu Tang et al. SENSORS
- Pedestrian Crosswalk Safety at Nonsignalized Crossings During Nighttime
- (2016) Ting Fu et al. TRANSPORTATION RESEARCH RECORD
- Traffic conflict techniques for road safety analysis: open questions and some insights
- (2014) Lai Zheng et al. CANADIAN JOURNAL OF CIVIL ENGINEERING
- Application of Computer Vision to Diagnosis of Pedestrian Safety Issues
- (2014) Mohamed H. Zaki et al. TRANSPORTATION RESEARCH RECORD
- Automated safety diagnosis of vehicle–bicycle interactions using computer vision analysis
- (2013) Tarek Sayed et al. SAFETY SCIENCE
- Feasibility of Computer Vision-Based Safety Evaluations
- (2013) Tarek Sayed et al. TRANSPORTATION RESEARCH RECORD
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More