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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Raimundo, A., Peres, D., Santos, N., Sebastião, P. & Souto, N. (2017). Using distance sensors to perform collision avoidance maneuvres on UAV applications. In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. (pp. 303-309). Bonn: Copernicus Publications.
Exportar Referência (IEEE)
A. S. Raimundo et al.,  "Using distance sensors to perform collision avoidance maneuvres on UAV applications", in Int. Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Bonn, Copernicus Publications, 2017, pp. 303-309
Exportar BibTeX
@inproceedings{raimundo2017_1714731843890,
	author = "Raimundo, A. and Peres, D. and Santos, N. and Sebastião, P. and Souto, N.",
	title = "Using distance sensors to perform collision avoidance maneuvres on UAV applications",
	booktitle = "International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives",
	year = "2017",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.5194/isprs-archives-XLII-2-W6-303-2017",
	pages = "303-309",
	publisher = "Copernicus Publications",
	address = "Bonn",
	organization = "International Society for Photogrammetry and Remote Sensing",
	url = "https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W6/303/2017/"
}
Exportar RIS
TY  - CPAPER
TI  - Using distance sensors to perform collision avoidance maneuvres on UAV applications
T2  - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
AU  - Raimundo, A.
AU  - Peres, D.
AU  - Santos, N.
AU  - Sebastião, P.
AU  - Souto, N.
PY  - 2017
SP  - 303-309
SN  - 1682-1750
DO  - 10.5194/isprs-archives-XLII-2-W6-303-2017
CY  - Bonn
UR  - https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W6/303/2017/
AB  - The Unmanned Aerial Vehicles (UAV) and its applications are growing for both civilian and military purposes. The operability of an UAV proved that some tasks and operations can be done easily and at a good cost-efficiency ratio. Nowadays, an UAV can perform
autonomous missions. It is very useful to certain UAV applications, such as meteorology, vigilance systems, agriculture, environment mapping and search and rescue operations. One of the biggest problems that an UAV faces is the possibility of collision with other objects in the flight area. To avoid this, an algorithm was developed and implemented in order to prevent UAV collision with other objects. “Sense and Avoid” algorithm was developed as a system for UAVs to avoid objects in collision course. This algorithm uses a Light Detection and Ranging (LiDAR), to detect objects facing the UAV in mid-flights. This light sensor is connected to an on-board
hardware, Pixhawk’s flight controller, which interfaces its communications with another hardware: Raspberry Pi. Communications between Ground Control Station and UAV are made via Wi-Fi or cellular third or fourth generation (3G/4G). Some tests were made in order to evaluate the “Sense and Avoid” algorithm’s overall performance. These tests were done in two different environments: A 3D simulated environment and a real outdoor environment. Both modes worked successfully on a simulated 3D environment, and “Brake” mode on a real outdoor, proving its concepts.

ER  -