Fleet mission planning for Unmanned Aerial Vehicles (UAVs) is the process of creating flight plans for a specific set of objectives and typically over a time period. Due to the increasing …
Large-scale 3D scene acquisition at the urban city level using unmanned aerial vehicles (UAVs) or drones is becoming a well-practiced technology serving a wide variety of …
M Höffmann, S Patel, C Büskens - Journal of Field Robotics, 2024 - Wiley Online Library
Abstract The Complete Coverage Path Planning (CCPP) problem is a subfield of industrial motion planning that has applications in various domains, ranging from mobile robotics to …
S Yang, J Huang, X Xiang, J Li, Y Liu - Ocean Engineering, 2023 - Elsevier
A fine-grained offshore seabed map is critical to the site selection and construction for offshore wind farms, which can be obtained by the cooperative survey with multiple …
G Tang, C Tang, H Zhou, C Claramunt, S Men - Remote Sensing, 2021 - mdpi.com
Most Coverage Path Planning (CPP) strategies based on the minimum width of a concave polygonal area are very likely to generate non-optimal paths with many turns. This paper …
Safe path planning for obstacle avoidance in autonomous vehicles has been developed. Based on the Rapidly Exploring Random Trees (RRT) algorithm, an improved algorithm …
Unmanned aerial vehicles (UAVs) have been used extensively for search and rescue operations, surveillance, disaster monitoring, attacking terrorists, etc. due to their growing …
S McGovern, J Xiao - IEEE Transactions on Automation …, 2023 - ieeexplore.ieee.org
There are many industrial robotic applications which require a robot manipulator's end- effector to fully cover a 3D surface region in a constrained motion. Constrained surface …
Search and find mission in ocean environment is a none trivial operation given the amount of random parameters associated with it. The uncertain and dynamic aspects related to …