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

Autonomous vehicles were experiencing rapid development in the past few years. However,
achieving full autonomy is not a trivial task, due to the nature of the complex and dynamic …

The perception system in autonomous vehicles is respon-sible for detecting and tracking the
surrounding objects. This is usually done by taking advantage of several sens-ing modalities …

Capturing uncertainty in object detection is indispensable for safe autonomous driving. In
recent years, deep learning has become the de-facto approach for object detection, and …

Semantic scene understanding is crucial for robust and safe autonomous navigation,
particularly so in off-road environments. Recent deep learning advances for 3D semantic …

One of the main factors that contributed to the large advances in autonomous driving is the
advent of deep learning. For safer self-driving vehicles, one of the problems that has yet to …

Artificial Intelligence techniques powered by deep neural nets have achieved much success
in several application domains, most significantly and notably in the Computer Vision …

LiDAR-based 3D object detection for autonomous driving has recently drawn the attention of
both academia and industry since it relies upon a sensor that incorporates appealing …

Various autonomous or assisted driving strategies have been facilitated through the
accurate and reliable perception of the environment around a vehicle. Among the commonly …

Automotive radar is used in many applications of advanced driver assistance systems and is
considered as one of the key technologies for highly automated driving. An overview of state …