Results 11 to 20 of about 2,223,995 (381)
DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving [PDF]
AAAI Conference on Artificial Intelligence, 2023 Safety is the primary priority of autonomous driving. Nevertheless, no published dataset currently supports the direct and explainable safety evaluation for autonomous driving.
Tianqi Wang +7 more
semanticscholar +1 more source
IoT based car accident detection and notification algorithm for general road accidents
International Journal of Electrical and Computer Engineering (IJECE), 2019 With an increase in population, there is an increase in the number of accidents that happen every minute. These road accidents are unpredictable. There are situations where most of the accidents could not be reported properly to nearby ambulances on time.
Shivani Sharma, Shoney Sebastian
openalex +3 more sources
Accident Detection and Alert System
International Journal of Advanced Research in Science, Communication and Technology, 2023 One of the primary causes of car accidents is speed. Many lives could have been saved if emergency personnel had received accident information in time and arrived. This project is about an accident detection system that uses several components and alerts
Prof. M. K. Pawar +4 more
semanticscholar +1 more source
Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning [PDF]
ACM Multimedia, 2020 Traffic accident anticipation aims to predict accidents from dashcam videos as early as possible, which is critical to safety-guaranteed self-driving systems.
Wentao Bao, Qi Yu, Yu Kong
semanticscholar +1 more source
Traffic Accident Severity Prediction Based on Random Forest
Sustainability, 2022 The prediction of traffic accident severity is essential for traffic safety management and control. To achieve high prediction accuracy and model interpretability, we propose a hybrid model that integrates random forest (RF) and Bayesian optimization (BO)
Ming Yan, Yindong Shen
semanticscholar +1 more source
AAAI Conference on Artificial Intelligence, 2021 Traffic accident forecasting is of great importance to urban public safety, emergency treatment, and construction planning. However, it is very challenging since traffic accidents are affected by multiple factors, and have multi-scale dependencies on ...
Beibei Wang +3 more
semanticscholar +1 more source
RiskOracle: A Minute-level Citywide Traffic Accident Forecasting Framework [PDF]
AAAI Conference on Artificial Intelligence, 2020 Real-time traffic accident forecasting is increasingly important for public safety and urban management (e.g., real-time safe route planning and emergency response deployment).
Zhengyang Zhou +4 more
semanticscholar +1 more source
Machine Learning Approaches to Traffic Accident Analysis and Hotspot Prediction
De Computis, 2021 Traffic accidents are one of the most important concerns of the world, since they result in numerous casualties, injuries, and fatalities each year, as well as significant economic losses.
Daniel Santos +3 more
semanticscholar +1 more source
Unsupervised Traffic Accident Detection in First-Person Videos [PDF]
IEEE/RJS International Conference on Intelligent RObots and Systems, 2019 Recognizing abnormal events such as traffic violations and accidents in natural driving scenes is essential for successful autonomous driving and advanced driver assistance systems.
Yu Yao +4 more
semanticscholar +1 more source
Analysis of safety risk factors of modular construction to identify accident trends
Journal of Asian Architecture and Building Engineering, 2021 Although the modular construction method is safer than traditional onsite construction methods, accidents still occur; therefore, modular projects have characteristic safety risks.
Gi-Bum Jeong +4 more
semanticscholar +1 more source