Autonomous vehicle (AV) technology can provide a safe and convenient transportation
solution for the public, but the complex and various environments in the real world make it …

Robust and efficient vehicle detection in monocular vision is an important task in Intelligent
Transportation Systems. With the development of computer vision techniques and …

This paper provides a review of the literature in on-road vision-based vehicle detection,
tracking, and behavior understanding. Over the past decade, vision-based surround …

With the potential to increase road safety and provide economic benefits, intelligent vehicles
have elicited a significant amount of interest from both academics and industry. A robust and …

In this paper, we introduce a synergistic approach to integrated lane and vehicle tracking for
driver assistance. The approach presented in this paper results in a final system that …

We address the vehicle detection and classification problems using Deep Neural Networks
(DNNs) approaches. Here we answer to questions that are specific to our application …

Anomaly detection from a driver's perspective when driving is important to autonomous
vehicles. As a part of Advanced Driver Assistance Systems (ADAS), it can remind the driver …

Automated Vehicle Classification (AVC) based on vision sensors has received active
attention from researchers, due to heightened security concerns in Intelligent Transportation …

This paper presents a driver assistance system for vehicle detection and inter-vehicle
distance estimation using a single-lens video camera on urban/suburb roads. The task of …

In this paper, we introduce vehicle detection by independent parts (VDIP) for urban driver
assistance. In urban environments, vehicles appear in a variety of orientations, ie, oncoming …