With autonomous driving developing in a booming stage, accurate object detection in
complex scenarios attract wide attention to ensure the safety of autonomous driving …

For autonomous driving, it is important to detect obstacles in all scales accurately for safety
consideration. In this paper, we propose a new spatial attention fusion (SAF) method for …

With the potential to increase road safety and provide economic benefits, intelligent vehicles
have elicited a significant amount of interest from both academics and industry. A robust and …

Environment perception, one of the most fundamental and challenging problems of
autonomous vehicles (AVs), has been widely studied in recent decades. Due to inferior fault …

A wide range of advanced deep learning algorithms have recently been proposed for image
classification and object detection. However, the effectiveness of these methods can be …

Purpose The purpose of this paper is the presentation and research of a novel sensor fusion-
based system for obstacle detection and identification, which uses the millimeter-wave radar …

Object detection is a crucial task in autonomous driving. Currently, object-detection methods
for autonomous driving systems are primarily based on information from cameras and light …

This paper presents a systematic scheme for fusing millimeter wave (MMW) radar and a
monocular vision sensor for on-road obstacle detection. As a whole, a three-level fusion …

Camera and radar-based obstacle detection are important research topics in environment
perception for autonomous driving. Camera-based obstacle detection reports state-of-the-art …

Nowadays, vehicles with a high level of automation are being driven everywhere. With the
apparent success of autonomous driving technology, we keep working to achieve fully …