@inproceedings{509f27a09a424234aec6508e8add50f5,
title = "Laser Intensity and Multi-echo Information Utilization for Indoor Unmanned Aerial Vehicles: Current Status and Future Trends",
abstract = "As the next generation of Unmanned Aerial Vehicles (UAVs), enabling data from richer sensors and maximizing the capability with large-scale probabilistic machine-learned models has immense potential. The laser scanner is a widely used and advanced sensor in the UAV area. However, to avoid catastrophic crazy flies, the real-time deadline is always hard to meet with exponentially complex algorithms based on laser scanners. To thoroughly squeeze the computational- and data-light performance, this paper presents an overview of the usage of laser scanner information for indoor UAV flights, where the intensity and multi-echo information are mainly focused. Then, we demonstrated a ROS simulation experiment of map creation with analytical steps to support the evaluation of indoor UAV-flights suitability. Finally, based on the survey of the current state of these technologies, the transition possibility can be explored to consider the future direction of the relevant research areas.",
keywords = "Laser intensity, Multi-echo, Review, UAV",
author = "Gelin Wang and Wenxiao Hu and Chunyang Gu and Xinmin Chen and Jing Li",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 19th Chinese Intelligent Systems Conference, CISC 2023 ; Conference date: 14-10-2023 Through 15-10-2023",
year = "2023",
doi = "10.1007/978-981-99-6886-2_57",
language = "English",
isbn = "9789819968855",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "667--675",
editor = "Yingmin Jia and Weicun Zhang and Yongling Fu and Jiqiang Wang",
booktitle = "Proceedings of 2023 Chinese Intelligent Systems Conference - Volume III",
address = "Germany",
}