Collision avoidance system

About: Collision avoidance system is a research topic. Over the lifetime, 1788 publications have been published within this topic receiving 23667 citations.

Advanced Accident Avoidance System for Automobiles

Abstract: the objective of this project is to efficiently avoid the collision of automobile vehicles and to provide a greatest security to the users in adverse or in bad weather conditions by using Collision Avoidance System (CAS). In bad weather conditions it is very hard to drive automobiles as smooth as in regular conditions. Generally most of the accidents are occurred due to this bad weather conditions only. Therefore in this paper we propose a systematic architecture to avoid the early accidents which are mostly possible due to bad weather conditions and as well as due to asynchronous speed among the vehicles. In our proposed method the relative speed and distance of all the vehicles around a particular vehicle is estimated using IR sensors and Ultrasonic sensors and based on those results the speed of that particular vehicle is controlled to avoid early collisions. Besides this facility we also provide an accident detection system which detects the accidents and by using GPS and GSM we send the information of the location of the accident place to the police station and relatives, which is most useful information to save the persons.

Development of collision avoidance system for useful UAV applications using image sensors with laser transmitter

Abstract: The main goal of this study is to demonstrate the approach of achieving collision avoidance on Quadrotor Unmanned Aerial Vehicle (QUAV) using image sensors with colour- based tracking method A pair of high definition (HD) stereo cameras were chosen as the stereo vision sensor to obtain depth data from flat object surfaces Laser transmitter was utilized to project high contrast tracking spot for depth calculation using common triangulation Stereo vision algorithm was developed to acquire the distance from tracked point to QUAV and the control algorithm was designed to manipulate QUAV's response based on depth calculated Attitude and position controller were designed using the non-linear model with the help of Optitrack motion tracking system A number of collision avoidance flight tests were carried out to validate the performance of the stereo vision and control algorithm based on image sensors In the results, the UAV was able to hover with fairly good accuracy in both static and dynamic collision avoidance for short range collision avoidance Collision avoidance performance of the UAV was better with obstacle of dull surfaces in comparison to shiny surfaces The minimum collision avoidance distance achievable was 04 m The approach was suitable to be applied in short range collision avoidance

Human factors evaluation of existing side collision avoidance system driver interfaces

Abstract: This paper presents an assessment of the driver interface component of side collision avoidance systems. It looks at the design of the interfaces, and recommendations are presented regarding ergonomically desirable or undesirable features. A preliminary set of driver interface performance specifications are listed.

Longitudinal virtual bumper collision avoidance system implemented on a truck

Abstract: In this paper, we describe the results from a series of experiments using the virtual bumper collision avoidance algorithm implemented on a Navistar tractor cab. The virtual bumper combines longitudinal and lateral collision avoidance capabilities to control a vehicle in normal and emergency situations. A programmable boundary, the virtual bumper, defines a personal space around the host vehicle. A radar and a laser range sensor were used to sense the location of vehicles in the region in front of the truck. Incursions into the personal space by target vehicles impose a virtual 'force' on the host using impedance control, which in turn modifies the vehicles trajectory in order to avoid collisions with objects in the field of view. The virtual bumper longitudinal controller was tested under several driving situations and at several speeds. Several scenarios were evaluated. The results from two experiments will be described. These involve the truck performing a critical stop when the target vehicle ahead is stopped, and a situation in which the host must maintain a safe headway in a major traffic slow down. The algorithm demonstrated robustness to sensor noise and the ability to maintain a safe headway for both normal and emergency driving scenarios

An Autonomous Navigation System for Unmanned Underwater Vehicle

Abstract: UUV(Unmanned Underwater Vehicle) should possess an intelligent control software performing intellectual faculties such as cognition, decision and action which are parts of domain expert's ability, because unmanned underwater robot navigates in the hazardous environment where human being can not access directly. In this paper, we suggest a RVC intelligent system architecture which is generally available for unmanned vehicle and develope an autonomous navigation system for UUV, which consists of collision avoidance system, path planning system, and collision-risk computation system. We present an obstacle avoidance algorithm using fuzzy relational products for the collision avoidance system, which guarantees the safety and optimality in view of traversing path. Also, we present a new path-planning algorithm using poly-line for the path planning system. In order to verify the performance of suggested autonomous navigation system, we develop a simulation system, which consists of environment manager, object, and 3-D viewer.