Sub-optimal waypoints, UAV path planning and mosaicing application

6533b873fe1ef96bd12d4e38

RESEARCH PRODUCT

Sub-optimal waypoints, UAV path planning and mosaicing application

Naufal M. Saad David Fofi Mark Bastourous Olivier Morel David Strubel

subject

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Cover (telecommunications)Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 010103 numerical & computational mathematics 01 natural sciences Unmanned aerial vehicles [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]Computer vision Motion planning 0101 mathematics [ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Genetic Algorithm business.industry [ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO][INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO][SPI.TRON] Engineering Sciences [physics]/Electronics [ SPI.TRON ] Engineering Sciences [physics]/Electronics [SPI.TRON]Engineering Sciences [physics]/Electronics 010101 applied mathematics Coverage path planning Area coverage Robot Artificial intelligence business

description

International audience; Create a complete system of video surveillance using camera mounted on a robot like UAV to maintain optimized vast area coverage and reconstruct an image by using mosaicing techniques. This paper demonstrated the efficiency of using one UAV to cover vast area using optimized positions.

year	journal	country	edition	language
2016-08-19

https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01441578

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