Robust and efficient vehicle detection is an important task of environment perception of
intelligent vehicles, which directly affects the behavior decision-making and motion planning …

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

MmWave (millimeter wave) Frequency Modulated Continuous Waves (FMCW) RADARs are
sensors based on frequency-modulated electromagnetic which see their environment in 3D …

Millimeter-wave radar and machine vision are both important means for intelligent vehicles
to perceive the surrounding environment. Aiming at the problem of multi-sensor fusion, this …

The progress brought by the deep learning technology over the last decade has inspired
many research domains, such as radar signal processing, speech and audio recognition …

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 …

Simultaneous Localization and Mapping (SLAM) achieves the purpose of simultaneous
positioning and map construction based on self-perception. The paper makes an overview …

Vision impairment affects an individual's quality of life, posing challenges for visually
impaired people (VIPs) in various aspects such as object recognition and daily tasks …

Robust indoor ego-motion estimation has attracted significant interest in the last decades
due to the fast-growing demand for location-based services in indoor environments. Among …