This article presents a comprehensive survey of deep learning applications for object
detection and scene perception in autonomous vehicles. Unlike existing review papers, we …

Abstract Deep Learning has revolutionized Computer Vision, and it is the core technology
behind capabilities of a self-driving car. Convolutional Neural Networks (CNNs) are at the …

Self-driving cars are a hot research topic in science and technology, which has a great
influence on social and economic development. Deep learning is one of the current key …

Autonomous vehicle research has grown exponentially over the years with researchers
working on different object detection algorithms to realize safe and competent self-driving …

Object detection is a computer vision task that has become an integral part of many
consumer applications today such as surveillance and security systems, mobile text …

As a key technology of intelligent transportation system, the intelligent vehicle is the carrier
of comprehensive integration of many technologies. Although vision-based autonomous …

Deep learning field has progressed the vision-based surround perception and has become
the most trending area in the field of Intelligent Transportation System (ITS). Many deep …

Contemporary deep-learning object detection methods for autonomous driving usually
presume fixed categories of common traffic participants, such as pedestrians and cars. Most …

One of the major open challenges in self-driving cars is the ability to detect cars and
pedestrians to safely navigate in the world. Deep learning-based object detector …

Vehicle and pedestrian detection is one of the critical tasks in autonomous driving. Since
heterogeneous techniques have been proposed, the selection of a detection system with an …