scispace - formally typeset
Proceedings ArticleDOI

Improved Vehicle Collision Avoidance System

Reads0
Chats0
TLDR
This work is an attempt to develop a vehicle tracking system with multiple features in one system to deal with the severity of a collision to some extent for the common men.
Abstract
With one of the highest motorization growth rate in the world accompanied by rapid expansion in road network and urbanization over the years, our country is faced with serious impacts on road safety levels. Hence, detecting and recognizing moving vehicles in traffic scenes for traffic surveillance, traffic control, and road traffic information systems is an emerging research area for Intelligent Transportation Systems. Due to rapid increase in vehicles, there is exponential increase in accidents. Some costly cars had already implemented some in-built features (varying according to the company) of vehicle collision avoidance system but it's not affordable to every individual. Hence, this work is an attempt to develop a vehicle tracking system with multiple features in one system to deal with the severity of a collision to some extent for the common men. An important aspect of this collision avoidance system is the tracking of vehicle taillights and the detection of alert signals (turns and brakes). It further has the provision of counting the cars, detecting the obstacles coming while driving with the measurement of its distance from the driven vehicle. In addition, tracking of number plate of vehicle is also possible to figure out the vehicle causing accidents.

read more

Citations
More filters
Journal ArticleDOI

Vehicle to vehicle data transfer and communication using LI-FI technology

TL;DR: This project presents the designs and results of a prototype using the light fidelity (Li-Fi) technology, which is the latest technology that was developed in the last few years, which needs some systematic inquiry on its sustainability for use in the vehicles.
Proceedings ArticleDOI

Vehicle Detection and Collision Avoidance System

TL;DR: A literature survey on various approaches available towards and need for vehicle collision detection and collision avoidance system is presented in this paper , which impacts the study on different approaches available and the need for such a system.
Proceedings ArticleDOI

Vehicle Detection and Collision Avoidance System

TL;DR: In this paper , a literature survey on various approaches available towards and need for vehicle collision detection and collision avoidance system is presented, which impacts the study on different approaches available and the need for such a system.
Book ChapterDOI

Improved Optimal Reciprocal Collision Avoidance Algorithm in Racing Games

TL;DR: In this paper, a collision avoidance algorithm (IORCA) was proposed for racing games, and the collision avoidance behavior under IORCA was compared with ORCA under the straight lines and curves.
References
More filters
Journal ArticleDOI

Rear-Lamp Vehicle Detection and Tracking in Low-Exposure Color Video for Night Conditions

TL;DR: A novel image processing system to detect and track vehicle rear-lamp pairs in forward-facing color video using a red-color threshold directly derived from automotive regulations and adapted for real-world conditions in the hue-saturation-value (HSV) color space is presented.
Journal ArticleDOI

A Real-Time Vision System for Nighttime Vehicle Detection and Traffic Surveillance

TL;DR: An effective traffic surveillance system for detecting and tracking moving vehicles in nighttime traffic scenes using image segmentation and pattern analysis techniques based on automatic multilevel histogram thresholding.
Proceedings ArticleDOI

Rear Vehicle Detection and Tracking for Lane Change Assist

TL;DR: A monocular vision based rear vehicle detection and tracking system is presented for Lane Change Assist (LCA), which does not need road boundary and lane information.
Journal ArticleDOI

Vehicle Detection and Tracking Techniques: A Concise Review

TL;DR: This review presents a concise overview of image processing methods and analysis tools which used in building these previous mentioned applications that involved developing traffic surveillance systems.
Journal ArticleDOI

Intelligent Highway Traffic Surveillance With Self-Diagnosis Abilities

TL;DR: A self-diagnosing intelligent highway surveillance system that adapts different strategies under different traffic conditions to balance between the robustness and abundance of acquired information and design effective solutions for both daytime and nighttime traffic surveillance.
Related Papers (5)