Vehicle detection plays an important role in the development of an autonomous driving
system. Fast processing and accurate detection are two major aspects of generating the …

Advanced Driver Assistance Systems (ADAS) are getting increasingly popular because road
transport has grown dramatically. These systems are essential to improve driving comfort …

In this paper, a two-step approach for vehicles detection is proposed. The first step of
approach is to approximate vehicles' potential locations through searching for shadow area …

Vehicle detection is a major part of a driver assistant system. However, a complex
environment and diverse types of vehicles make real-time detection of vehicles a very …

In this paper, we propose a cascade classifier for high-performance on-road vehicle
detection. The proposed system deliberately selects constituent weak classifiers that are …

Driverless cars and autonomous vehicles have significantly changed the face of
transportation those days. Efficient use of vision system in the recent development of …

On-road vehicle detection is one of the key techniques in intelligent driver systems and has
been an active research area in the past years. Considering the high demand for real-time …

On-road vehicle detection is a major part of various applications, such as driver assistance
systems and auto-driving, and these systems need to detect vehicles robustly and …

In this paper, a novel approach for automatic road accident detection is proposed. The
approach is based on detecting damaged vehicles from footage received from surveillance …

Deep convolutional neural network (CNN)‐based object detectors perform better than other
kinds of object detectors in recent development. Training CNNs needs large amounts of …