LiDAR and camera detection fusion in a real-time industrial multi-sensor collision avoidance system

P Wei, L Cagle, T Reza, J Ball, J Gafford - Electronics, 2018 - mdpi.com
Collision avoidance is a critical task in many applications, such as ADAS (advanced driver-
assistance systems), industrial automation and robotics. In an industrial automation setting …

Autonomous wind-turbine blade inspection using lidar-equipped unmanned aerial vehicle

M Car, L Markovic, A Ivanovic, M Orsag… - IEEE access, 2020 - ieeexplore.ieee.org
This paper presents a LiDAR-equipped unmanned aerial vehicle (UAV) performing semi-
autonomous wind-turbine blade inspection which includes traversing to the blade tip and …

A local trajectory planning and control method for autonomous vehicles based on the RRT algorithm

S Feraco, S Luciani, A Bonfitto… - … of electrical and …, 2020 - ieeexplore.ieee.org
This paper presents a local trajectory planning and control method based on the Rapidly-
exploring Random Tree algorithm for autonomous racing vehicles. The paper aims to …

Active navigation system for a rubber-tapping robot based on trunk detection

J Fang, Y Shi, J Cao, Y Sun, W Zhang - Remote Sensing, 2023 - mdpi.com
To address the practical navigation issues of rubber-tapping robots, this paper proposes an
active navigation system guided by trunk detection for a rubber-tapping robot. A tightly …

Adaptive stiffness estimation impedance control for achieving sustained contact in aerial manipulation

L Marković, M Car, M Orsag… - 2021 IEEE international …, 2021 - ieeexplore.ieee.org
This paper presents a manipulator-equipped unmanned aerial vehicle (UAV) performing
contact-based surface inspection. Using stereo camera information, a contact point is …

O2SAT: Object-Oriented-Segmentation-Guided Spatial-Attention Network for 3D Object Detection in Autonomous Vehicles

H Mushtaq, X Deng, I Ullah, M Ali, BH Malik - Information, 2024 - mdpi.com
Autonomous vehicles (AVs) strive to adapt to the specific characteristics of sustainable
urban environments. Accurate 3D object detection with LiDAR is paramount for autonomous …

[PDF][PDF] 无人水面艇三维激光雷达目标实时识别系统

柳晨光, 郭珏菡, 吴勇, 初秀民, 吴文祥, 雷超凡 - 机械工程学报, 2022 - qikan.cmes.org
为解决无人水面艇动态环境目标动态感知问题, 研究无人艇三维激光雷达目标实时识别系统.
设计出无人艇三维激光雷达目标实时识别系统结构, 硬件组成及数据通信协议. 基于点云库(Point …

[HTML][HTML] MoTI: a multi-stage algorithm for moving object identification in SLAM

C Hu, M Liu, S Zhang, Y Xie, L Tan - Sensors, 2023 - mdpi.com
Simultaneous localization and mapping (SLAM) algorithms are widely applied in fields such
as autonomous driving and target tracking. However, the effect of moving objects on …

Lidar super-resolution based on segmentation and geometric analysis

D Tian, D Zhao, D Cheng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this work, we propose a new light detection and ranging (LiDAR) super-resolution method
for indoor and outdoor scenes in urban environments without training, converting to images …

Towards accurate ground plane normal estimation from ego-motion

J Zhang, W Sui, Q Zhang, T Chen, C Yang - Sensors, 2022 - mdpi.com
In this paper, we introduce a novel approach for ground plane normal estimation of wheeled
vehicles. In practice, the ground plane is dynamically changed due to braking and unstable …