The MPU RX-4 Project: Design, Electronics, and Software Development of a Geofence Protection System for a Fixed-Wing VTOL UAV

被引:6
|
作者
Tsintotas, Konstantinos A. [1 ]
Bampis, Loukas [2 ]
Taitzoglou, Anastasios [1 ]
Kansizoglou, Ioannis [1 ]
Kaparos, Pavlos [3 ]
Bliamis, Chris [3 ]
Yakinthos, Kyros [3 ]
Gasteratos, Antonios [1 ]
机构
[1] Democritus Univ Thrace, Dept Prod & Management Engn, Xanthi 67132, Greece
[2] Democritus Univ Thrace, Dept Elect & Comp Engn, Xanthi 67100, Greece
[3] Aristotle Univ Thessaloniki, Dept Mech Engn, Thessaloniki 54124, Greece
关键词
Geofence protection system; unmanned aerial vehicle (UAV); vertical take-off and landing (VTOL); visual-based navigation; OBSTACLE AVOIDANCE; PLACE RECOGNITION; LIDAR INTENSITY; TRACKING; OPERATIONS; NAVIGATION; INSPECTION; ALGORITHM; AIRCRAFT; VEHICLE;
D O I
10.1109/TIM.2022.3225020
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Unmanned aerial vehicles (UAVs) are at the forefront of this century's technological shift, becoming ubiquitous in research and market areas. However, as a UAV navigates autonomously, there are unanticipated occasions, e.g., collisions with dynamic obstacles or loss of data provided by the global navigation satellite system (GNSS), where the aircraft has to change its mission plans. In particular, to be protected from possible accidents, the platform's geofence protection system should adjust the trajectory appropriately when obstacles are detected and select the proper ground surface when emergency landing is prompted. As these processes require fast reaction times, utilizing low latency sensors and algorithms is necessary. This article proposes a complete and low-complexity geofence protection system for recognizing moving objects and assessing the ground surface's suitability using onboard sensing and processing modules. The proposed system is implemented on a novel fixed-wing UAV, designated as MPU RX-4, which features an unconventional flying wing layout and vertical take-off and landing (VTOL) capabilities. Our system is based on a forward-facing laser imaging, detection, and ranging (LIDAR) sensor and three downward-facing laser rangefinders. We take advantage of the high-precision distance measurements and operational speed to identify moving obstacles using the LIDAR module, while the ground's slope and the existence of any obstacle therein are computed through the rangefinders. First, the article describes the UAV design procedure and its aerodynamic performance characteristics, which allowed us to evaluate our approach on a testbed aircraft. Then, the evaluation protocol shows that our system can perform robustly and under real-time constraints reaching an overall latency of only 165.5 ms, sufficient for reliable detection and avoidance of moving obstacles.
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页数:13
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