Autonomous vehicles (AVs) rely on advanced sensory systems, such as Light Detection and
Ranging (LiDAR), to function seamlessly in intricate and dynamic environments. LiDAR …

Detecting and recognizing pests are paramount for ensuring the healthy growth of crops,
maintaining ecological balance, and enhancing food production. With the advancement of …

摘要单光子激光雷达是一种基于微弱光探测的新型激光雷达技术, 可实现单个光子探测与计数,
目前已达到了理论的探测极限. 单光子激光雷达技术与弱光探测, 超远距探测 …

The key to autonomous navigation in unmanned systems is the ability to recognize static
and moving objects in the environment and to support the task of predicting the future state …

Binary neural networks (BNNs) have been proposed to reduce the heavy memory and
computation burdens in deep neural networks. However, the binarized weights and …

Introduction: Navigation satellite systems can fail to work or work incorrectly in a number of
conditions: signal shadowing, electromagnetic interference, atmospheric conditions, and …

Real-time semantic segmentation of point clouds has increasing importance in applications
related to 3D city modelling and mapping, automated inventory of forests, autonomous …

Before their massive deployment, autonomous vehicles need to prove in complex scenarios
such that they can reach human driving proficiency while guaranteeing higher safety levels …

Terrain analysis is of paramount importance for the safe navigation of autonomous robots. In
this study, we introduce GATA, a probabilistic real-time graph-based method for …

The use of 3D point clouds (3DPCs) in deep learning (DL) has recently gained popularity
due to several applications in fields such as computer vision, autonomous systems, and …