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23 maj 2024 · In this paper, a new IoT-based automatic vehicle accident detection and visual situation reporting system is proposed to address these challenges. The system successfully detects accidents, without third-party involvement, using on-vehicle sensors.
This paper analyses and proposes a way IoT can be used in this regard in a way that can save thousands of lives. Along with IoT, we have incorporated machine learning methods and image processing to accurately identify a road accident.
3 sty 2024 · The paper presents a method for automatic car accident detection using cooperative vehicle–infrastructure systems (CVIS). The proposed approach aims to enhance road safety by detecting car accidents in real time through communication between vehicles and infrastructure components.
In the proposed vehicle crash location framework, the impact identification is performed utilizing the Convolutional Neural Network (CNN), taking a bunch of pictures as information, the framework distinguishes the crash, the effect of the vehicle and the greatness of the mishap.
1 cze 2023 · The Automotive black box system can aid with vehicle safety, increase collision victim care, assist insurance corporations with vehicle crash investigations, and improve road conditions to reduce death rates.
30 cze 2023 · This paper proposes a novel car crash detection system for various car crashes using three deep learning models, namely VGG16 (feature extractor using transfer learning), RPN (region proposal network), and CNN8L (region-based detector).
1 mar 2021 · The Future Series report outlines the example of where responsibility might lie if an autonomous car crashes with another: Is it the radar system, the software that controls it, the communications software between the two cars, the main software system controlling the car’s safety, the speed or quality of the connection between the cars? The ...
