학술논문

Computer Vision Based Car Overtaking Advisory
Document Type
Conference
Source
2023 IEEE World Conference on Applied Intelligence and Computing (AIC) Applied Intelligence and Computing (AIC), 2023 IEEE World Conference on. :662-667 Jul, 2023
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Computer vision
Computational modeling
Estimation
Streaming media
Cameras
Automobiles
Feeds
vehicle detection
speed estimation
overtake advisory
computer vision
Language
Abstract
A vehicle overtake advisory system is a technology that instructs drivers on how to pass another vehicle safely while driving. Overtaking involves inherent risks, as it calls for the driver to move into the oncoming traffic lane and possibly into the path of other vehicles. Poor road conditions, driver error, and limited visibility can also contribute to an increased risk of accidents when overtaking. In these circumstances, overtaking advisory systems may be quite helpful. These systems provide drivers with real-time information about the current state of the road, the position and speed of other vehicles, and any obstacles or hazards in the surrounding environment, thereby increasing road safety and lowering the risk of accidents. This study proposes a method to generate a car overtake advisory based on computer vision. Cameras are mounted in front of vehicles which capture video streams in a variety of illumination and weather conditions. The frames extracted from the video feed are then used for speed estimation of the vehicles and an overtake advisory is generated. The frames extracted from the video feed are then used to estimate the speed of the vehicles. Based on the speeds and positions of the vehicles, an overtaking advisory is generated.