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Dynamic Route Planning and Obstacle Avoidance Model for Unmanned Aerial Vehicles
| Content Provider | Semantic Scholar |
|---|---|
| Author | Prathyusha, Kanakam Sastry, A. S. C. S. Suman, Mishra |
| Copyright Year | 2017 |
| Abstract | Unmanned Aerial Vehicles (UAVs) are the aerial vehicles which operate and move without human controller. Prior to the development of UAVs, Manned Aerial Vehicles (MAVs) were in use. Later to overcome the demerits of MAVs, UAVs were introduced. Some significant advantages of UAVs over MAVs are it is less expensive, secure and movable. Two major issues in UAVs are: collisions and obstacles. Obstacle avoidance models can be either static or dynamic and collision occurs due to variable shaped obstacles. Traditional static UAV models are not efficient against polygon obstacle shapes with dynamic obstacles. In this proposed model, a novel dynamic obstacle avoidance model with dynamic routing algorithm is proposed. The whole process of obstacle detection and avoidance model can be divided into two sub-phases, those are: 1) Sensing and detection phase, 2) Avoidance phase. In the sensing and detection phase, the system gathers important information about the environment and detects whether an obstacle is present in the path or not. Traditional route planning and obstacle/collision avoidance models such as Optimized trajectory model, Geometric model, Force field model and Bearing angle-based model have limitations , those are:-. Limited node capacity, static configuration of each path, static path planning method, difficult to detect polygon shaped obstacles. In this paper, we have proposed a new dynamic routing International Journal of Pure and Applied Mathematics Volume 116 No. 24 2017, 315-329 ISSN: 1311-8080 (printed version); ISSN: 1314-3395 (on-line version) url: http://www.ijpam.eu Special Issue ijpam.eu |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://acadpubl.eu/jsi/2017-116-23-24/articles/24/28.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
