An obstacle avoidance method for use in person following for vision-based autonomous land vehicle (ALV) guidance is proposed. This method is based on the use of vehicle location estimation and a quadratic pattern classifier, and aims to guide the ALV to follow a walking person in front by navigating along a derived collision-free path. Before generating the collision-free path, the person’s loc...

The effectiveness analysis assesses the benefit of future safety systems in terms of collision mitigation or collision avoidance based on real life accident data. The safety systems are evaluated by case-by-case analyses based on in-depth accident data (e.g. GIDAS). For this purpose an innovative simulation environment was developed that recreates the technical specification of the proposed sys...

Spinal injuries pose a considerable risk to life and quality of life. In spite of improvements in active and passive safety of motor vehicles, car accidents are regarded as a major cause for vertebral fractures. The purpose of this study was to evaluate the current incidence of vertebral fractures among front-seat occupants in motor vehicle accidents, and to identify specific risk factors for s...

The Anti–Collision device is a detection device meant to be incorporated into cars for the purpose of safety. As opposed to the anti–collision devices present in the market today, this system is not designed to control the vehicle. Instead, it serves as an alert in the face of imminent collision. The device is intended to find a way to implement a minimum spacing for cars in traffic in an affor...

This report develops a probabilistic model for analyzing longitudinal collision/safety between an abruptly decelerating vehicle and its immediate follower on an Automated Highway System. The input parameters are the distance between the two vehicles, their common speed prior to the failure, the reaction delay of the following vehicle and a bivariate distribution for the two deceleration rates. ...

Rear-end traffic collision has been a crucial problem due to numerous injury even death and corresponding economic and social damage. In order to eliminate these threats, a large number of researchers have paid effort on this area, with timeconsuming artificial intelligence-inspired methods or mathematical method in strict assumptions. In this paper, we propose a VANET-based real-time rear-end ...

most accidents happens because of lack of visibility and not driver’s reaction on time whenan accident occurs. increasing required time for driver’s reaction caused to decreasingaccidents on roadways .intelligent vehicle networks brings enough time for reaction by sendingalert and alternate messages to vehicles on roadway. main propose in this paper is aroundmodulation on reception interval saf...

Coordinated fleet of Autonomous Underwater Gliders (AUGs) can provide significant benefit to a number of marine applications including ocean sampling, mapping, surveillance and communication. Traditional techniques for navigating underwater vehicles have been designed for single-vehicle operations and do not scale well to multi-vehicle operations and missions. In this paper a navigation system ...

Collision prediction during nighttime driving is helpful to avoid accidents because the driver has time to prepare upcoming situations. This research intends to find a real-time solution for frontal and lateral collision warning in an intelligent vehicle. Motion vectors of scene objects are estimated from time-varying frames. Small motion vectors are eliminated by using empirical threshold valu...

This work presents a novel framework for the formation control of multiple autonomous ground vehicles in an on-road environment. Unique challenges of this problem lie in 1) the design of collision avoidance strategies with obstacles and with other vehicles in a highly structured environment, 2) dynamic reconfiguration of the formation to handle different task specifications. In this paper, we d...