Driven by deep learning techniques, perception technology in autonomous driving has
developed rapidly in recent years, enabling vehicles to accurately detect and interpret …

The 4D millimeter-Wave (mmWave) radar is a promising technology for vehicle sensing due
to its cost-effectiveness and operability in adverse weather conditions. However, the …

With the rapid advancements of sensor technology and deep learning, autonomous driving
systems are providing safe and efficient access to intelligent vehicles as well as intelligent …

In autonomous driving, LiDAR and radar are crucial for environmental perception. LiDAR
offers precise 3D spatial sensing information but struggles in adverse weather like fog …

Abstract Object detection utilizing Frequency Modulated Continuous Wave radar is
becoming increasingly popular in the field of autonomous systems. Radar does not possess …

With the development of autonomous driving and the emergence of various intelligent traffic
scenarios, object detection technology based on deep learning is more and more widely …

Automotive radar sensors provide valuable information for advanced driving assistance
systems (ADAS). Radars can reliably estimate the distance to an object and the relative …

Multispectral object detection (MOD), which incorporates additional information from thermal
images into object detection (OD) to robustly cope with complex illumination conditions, has …

Reconfigurable coding metamaterial is created by combining coding metamaterials with
traditional microwave absorbers. Using 3-D printing, two elements with a specific phase …

The perception of autonomous vehicles has to be efficient, robust, and cost-effective.
However, cameras are not robust against severe weather conditions, lidar sensors are …