Vehicle detection is a fundamental task in Forward Collision Avoiding Systems (FACS). Generally, vision-based vehicle detection methods consist of two stages: hypotheses generation and hypotheses verification. In this paper, we focus on the former, presenting a feature-based method for on-road vehicle detection in urban traffic. Hypotheses for vehicle candidates are generated according to the s...

vehicle driveline system and its working accuracy play an important role in the performance of car. the purpose of this study is to provide an appropriate mechanism for investigating, identifying and determining the position and size of defects in the vehicle power transmission system. this is based on the patterns of the residual signal, obtained from a simulated model of the system. neuro-fuz...

Vehicle driveline system and its working accuracy play an important role in the performance of car. The purpose of this study is to provide an appropriate mechanism for investigating, identifying and determining the position and size of defects in the vehicle power transmission system. This is based on the patterns of the residual signal, obtained from a simulated model of the system. Neuro-...

In the IEEE 802.11p WAVE system, applications can directly control the transmission power of the messages sent in WAVE Short Message Protocol (WSMP). This feature enables the vehicles to control the transmission range based on the application requirements and/or the vehicle density. Seemingly straightforward, however, the distributed power control between vehicles can easily go awry. Unless car...

Nowadays, traffic jam becomes severe rapidly. Therefore we presented the algorithms of vehicle monitoring from Three Line Scanner Imagery. In our contribution, the framework consists of three steps: vehicle detection, moving/ parking vehicle discrimination and vehicle parking identification. Now we focus on vehicle detection by Nadir-Single TLS images. We applied Explicit Model Approach. Firstl...

This paper presents a method for detecting vehicles as obstacles in real road scene using a single onboard camera for an automotive vehicle. Vehicles are detected by finding region of interest (boundary detection) using morphological operation in image captured by camera. When a vehicle is found in front of travelled vehicle then the driver assistance system gives warning to the driver to give ...

Delayed event detection and degraded vehicle control are observed when drivers fuel their need to perform extra-driving activities. Vehicle control and event detection are shown to degrade most if the in-vehicle task requires spatial cognitive resources and/or if the activity requires visual perception and/or manual control manipulation. In-vehicle tasks with auditory input and/or voice output ...

An autonomous mobile vehicle needs to be developed to allow the vehicle to reach the desired destination using tracking and obstacle detection schemes. This paper concentrates on the vehicle navigation and obstacle detection. Vehicle navigation is carried out using Radio Frequency Identification (RFID) technology. It is used to navigate the vehicle from source to destination. The obstacle detec...

On-road vehicle detection and rear-end crash prevention are demanding subjects in both academia and automotive industry. The paper focuses on monocular vision-based vehicle detection under challenging lighting conditions, being still an open topic in the area of driver assistance systems. The paper proposes an effective vehicle detection method based on multiple features analysis and Dempster-S...

This paper proposes a joint random field (JRF) model for moving vehicle detection in video sequences. The JRF model extends the conditional random field (CRF) by introducing auxiliary latent variables to characterize the structure and evolution of visual scene. Hence detection labels (e.g. vehicle/roadway) and hidden variables (e.g. pixel intensity under shadow) are jointly estimated to enhance...