Large Animal Detection and Continuous Traffic Monitoring on Highways

被引:0
|
作者
Mukherjee, A. [1 ]
Stolpner, S. [1 ]
Liu, X. [1 ]
Vrenozaj, U. [1 ]
Fei, C. [1 ]
Sinha, A. [1 ]
机构
[1] AUG Signals Ltd, Intelligent Syst, Toronto, ON, Canada
来源
关键词
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
There is an increasing interest worldwide in animal detection systems to reduce animal-vehicle collisions. Traditional approaches include building animal crossings, introducing real or virtual fencing, video surveillance and break-the-beam systems. Unlike these approaches, the system described here Large Animal Warning and Detection System (LAWDS) employs a 360 degrees-scanning radar to monitor a stretch of highway. This provides year-round continuous highway monitoring, even in harsh weather conditions. Innovative analysis and classification techniques enable the system to track large animals (e.g. deer). Low false alarm rate and environmental impact make LAWDS attractive for operational use. LAWDS also distinguishes vehicles from large animals and analyzes highway traffic metrics such as traffic volume and vehicle speeds.
引用
收藏
页码:808 / 810
页数:3
相关论文
共 50 条
  • [31] Vehicle detection and tracking for traffic monitoring system
    Kiratiratanapruk, Kantip
    Siddhichai, Supakom
    [J]. TENCON 2006 - 2006 IEEE REGION 10 CONFERENCE, VOLS 1-4, 2006, : 602 - +
  • [32] Network Traffic Monitoring, Analysis and Anomaly Detection
    Wang, Wei
    Zhang, Xiangliang
    Shi, Wenchang
    Lian, Shiguo
    Feng, Dengguo
    [J]. IEEE NETWORK, 2011, 25 (03): : 6 - 7
  • [34] Incident detection on highways
    Howard, D
    Roberts, SC
    [J]. GENETIC PROGRAMMING THEORY AND PRACTICE II, 2005, 8 : 263 - 282
  • [35] Monitoring and Prediction of Traffic Noise in Large Urban Areas
    Zambon, Giovanni
    Roman, Hector Eduardo
    Smiraglia, Maura
    Benocci, Roberto
    [J]. APPLIED SCIENCES-BASEL, 2018, 8 (02):
  • [36] Detection of DNS Traffic Anomalies in Large Networks
    Cermak, Milan
    Celeda, Pavel
    Vykopal, Jan
    [J]. ADVANCES IN COMMUNICATION NETWORKING, 2014, 8846 : 215 - 226
  • [37] Worm detection in large scale network by traffic
    Xin, Y
    Fang, BX
    Yun, XC
    Chen, HY
    [J]. PDCAT 2005: Sixth International Conference on Parallel and Distributed Computing, Applications and Technologies, Proceedings, 2005, : 270 - 272
  • [38] A System for Animal Health Monitoring and Emotions Detection
    Sec, David
    Mikulecky, Peter
    [J]. PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2023, PT I, 2023, 14115 : 41 - 52
  • [39] Potential for Enhancing Traffic Safety on Highways of Russia
    Ichkitidze, Yuri
    Sarygulov, Askar
    Ungvari, Laslo
    [J]. 12TH INTERNATIONAL CONFERENCE - ORGANIZATION AND TRAFFIC SAFETY MANAGEMENT IN LARGE CITIES SPBOTSIC-2016, 2017, 20 : 242 - 246
  • [40] Quality of Traffic Observability on Highways With Lagrangian Sensors
    Contreras, Sergio
    Agarwal, Shaurya
    Kachroo, Pushkin
    [J]. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2018, 15 (02) : 761 - 771