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 …

This document provides a review of the past decade's literature in on-road vision-based
vehicle detection. Over the past decade, vision-based surround perception has matured …

Vision-based vehicle detection approaches achieve incredible success in recent years with
the development of deep convolutional neural network (CNN). However, existing CNN …

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 …

The recent progress in autonomous vehicle research and development has led to
increasingly widespread testing of fully autonomous vehicles on public roads, where …

The focus of this paper is on the problem of Haar-like feature selection and classification for
vehicle detection. Haar-like features are particularly attractive for vehicle detection because …

Intelligent transportation systems, or ITS for short, includes a variety of services and
applications such as road traffic management, traveler information systems, public transit …

For autonomous driving system, vehicle detection is an import part as well as a challenging
problem due to the large intra-class differences caused by occlusion, truncation and different …

Vision‐based vehicle detection plays an important role in intelligent transportation systems.
With the fast development of deep convolutional neural networks (CNNs), vision‐based …

This work focuses on a slice through the field-Computer Vision Metrics–from the view of
feature description metrics, or how to describe, compute and design the macro-features and …