A vision-based system for extracting important traffic parameters such as vehicle count, density, type and location at a three-way junction is presented. A single digital camera is used to acquire the video clip at the junction. In order to cover a wide area of the junction and to minimize the occlusion of vehicles, the camera is placed on top of a building near the junction. The accuracy of th...

This paper proposes a sensor fusion based obstacle detection/classification system for active pedestrian protection system. At the frontend of vehicle, one laser scanner and one camera is installed. Clustering and tracking of range data from laser scanner generate obstacle candidates. Vision system classifies the candidates into three categories: pedestrian, vehicle, and other. Gabor filter ban...

The Army is interested in using acoustic sensors in the battlefield to perform vehicle tracking and classification using passive arrays of acoustic microphones and seismic sensors. Here, we present a prototype vehicle acoustic signal classification. To analyze acoustic features of the vehicle signal, we adopt biologically motivated feature extraction models. Physiological and psychophysical res...

Studies investigating crash rates by roadway classification are few and far between and even more so if extended to focus on heavy vehicles. This study explores and compares two advanced econometric methods, random-parameter Tobit regression and latent class Tobit regression, to determine contributing factors for heavy vehicle crashes per million-vehicle-miles-traveled while accounting for the ...

Vehicle classification is a challenging task in the area of image processing. It involves various vehicles based on their color, model, and make. A distinctive variety belonging to model categories have been developed automobile industry, which has made it necessary establish compact system that can classify within complex group. well-established vehicle applications security, monitoring traffi...

A number of traffic-related issues, including crashes, jams, and pollution, could be resolved by self-driving vehicles (SDVs). Several challenges still need to overcome, particularly in the areas precise environmental perception, observed detection, its classification, allow safe navigation autonomous (AVs) crowded urban situations. This article offers a comprehensive examination application de...