Affiliation:
1. Department of Mechatronics, Kulliyah of Enginnering, International Islamic University Malaysia, Kuala Lumpur, Malaysia
Funder
Ministry of Science, Technology, and Innovation (MOSTI) through a Collaborative Effort Between Pesaka Mawar Sdn Bhd and International Islamic University Malaysia
Research Management Centre
Project Autonomous Surface Vessel for Sedimentation Investigation In Port
Obstacle Detection and Collision Avoidance for Unmanned Surface Vessel in Dynamic Environments” Project led by the Centre for Unmanned Technologies (CUTe), IIUM
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Reference48 articles.
1. Computer stereo vision for autonomous driving;fan;arXiv 2012 03194,2020
2. A 3D vision based obstacle avoidance methodology for unmanned surface vehicles;gonzalez-garcia;Proc 21st Congreso Mexicano de Robótica,2019
3. Stereo obstacle detection for unmanned surface vehicles by IMU-assisted semantic segmentation