Results 21 to 30 of about 16,991 (248)
Road Surface Monitoring Using Smartphone Sensors: A Review
Sensors, 2018 Road surface monitoring is a key factor to providing smooth and safe road infrastructure to road users. The key to road surface condition monitoring is to detect road surface anomalies, such as potholes, cracks, and bumps, which affect driving comfort ...
Shahram Sattar +2 more
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Traffic Trajectory Anomaly Detection Method Based on Reconstruction Error [PDF]
Jisuanji kexue, 2022 The rapid development of sensor technology has spawned a large amount of traffic trajectory data,and trajectory ano-maly detection has important application value in smart transportation,urban planning,road monitoring and other fields.Aiming at the ...
LI Chao-neng, FENG Guan-wen, LIU Ru-yi, MIAO Qi-guang
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Anomaly Detection in Roads with a Data Mining Approach
Procedia Computer Science, 2017 Road condition has an important role in our daily live. Anomalies in road surface can cause accidents, mechanical failure, stress and discomfort in drivers and passengers. Governments spend millions each year in roads maintenance for maintaining roads in good condition.
Nuno Silva 0004 +4 more
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RoADS: A Road Pavement Monitoring System for Anomaly Detection Using Smart Phones [PDF]
, 2016 Monitoring the road pavement is a challenging task. Authorities spend time and finances to monitor the state and quality of the road pavement. This paper investigate road surface monitoring with smartphones equipped with GPS and inertial sensors: accelerometer and gyroscope.
Fatjon Seraj +4 more
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Anomaly Detection in Road Traffic Using Visual Surveillance [PDF]
ACM Computing Surveys, 2020 Computer vision has evolved in the last decade as a key technology for numerous applications replacing human supervision. Timely detection of traffic violations and abnormal behavior of pedestrians at public places through computer vision and visual surveillance can be highly effective for maintaining traffic order in cities. However, despite a handful
Santhosh Kelathodi Kumaran +2 more
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A Three-Stage Anomaly Detection Framework for Traffic Videos
Journal of Advanced Transportation, 2022 As reported by the United Nations in 2021, road accidents cause 1.3 million deaths and 50 million injuries worldwide each year. Detecting traffic anomalies timely and taking immediate emergency response and rescue measures are essential to reduce ...
Junzhou Chen +3 more
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Multi-modality Anomaly Segmentation on the Road
CoRRSemantic segmentation allows autonomous driving cars to understand the surroundings of the vehicle comprehensively. However, it is also crucial for the model to detect obstacles that may jeopardize the safety of autonomous driving systems. Based on our experiments, we find that current uni-modal anomaly segmentation frameworks tend to produce high ...
Heng Gao +4 more
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Urban Road Anomaly Monitoring Using Vision–Language Models for Enhanced Safety Management
Applied SciencesAbnormal phenomena on urban roads, including uneven surfaces, garbage, traffic congestion, floods, fallen trees, fires, and traffic accidents, present significant risks to public safety and infrastructure, necessitating real-time monitoring and early ...
Hanyu Ding, Yawei Du, Zhengyu Xia
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An optimized routing algorithm for vehicle ad-hoc networks
Engineering Science and Technology, an International Journal, 2019 Efficient routing algorithms are essential to guarantee reliable communication in Vehicular Adhoc Networks (VANETs). In this paper, we present a twofold approach entailing the design of a new route metric for VANET communication, which considers ...
H. Bello-Salau +5 more
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Algorithm of Map Matching Based on Curve Fitting and Topological Structure [PDF]
Jisuanji gongcheng, 2018 Aiming at the lower matching precision problem of existing map matching algorithms in intensive road,this paper puts forward an improved matching algorithm with curve fitting,which puts relative error as the benchmark.Firstly,the interpolation method is ...
TENG Zhijun,QU Zhaoqiang,HOU Xueyan,JIA Taozheng,ZHAO Caibo,XIA Bin
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