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 …

Computer vision is a field of computer systems that can comprehend images and scenes
and also identify them. Computer vision technology is very popular in recent times and it has …

Automated driving and vehicle safety systems need object detection. It is important that
object detection be accurate overall and robust to weather and environmental conditions …

Object detection is challenging in the computer vision area and is crucial in autonomous
driving systems. The largest number of traditional techniques or the use of deep learning are …

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

Object detection for street-level objects can be applied to various use cases, from car and
traffic detection to the self-driving car system. Therefore, finding the best object detection …

One of the difficult tasks in the field of computer vision is the classification and detection of
vehicles. Researchers from all over the world are working to create autonomous vehicle …

Recent advancements in artificial intelligence (AI) have greatly improved the object
detection capabilities of autonomous vehicles, especially using convolutional neural …

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 …

Abstract Development of self-driving cars aims to drive safely from one point to another in a
coordinated system where an on-board system should react and possibly alert drivers about …