Flight-test evaluation of small form-factor LiDAR and radar sensors for sUAS detect-and-avoid applications
Flight-test evaluation of small form-factor LiDAR and radar sensors for sUAS detect-and-avoid applications
- New search for: de Haag, Maarten Uijt
- New search for: Bartone, Chris G.
- New search for: Braasch, Michael S.
- New search for: de Haag, Maarten Uijt
- New search for: Bartone, Chris G.
- New search for: Braasch, Michael S.
Despite well over a decade of intensive research and development efforts, detect-and-avoid (DAA) technology remains in an immature state for medium and large unmanned aerial systems (UAS) and is in its very infancy for small UAS (sUAS). Routine Beyond Visual Line-of-Sight (BVLOS) operations will not be achieved until this technological impasse has been surpassed. Although a multi-system/multi-sensor approach is known to be the robust solution, sUAS platforms are challenged to host such an equipment suite in addition to their revenue-generating payload for commercial applications. Recent developments in small form-factor LiDAR and radar sensors may prove to be vital components in the overall DAA solution for sUAS. These types of sensors are being developed primarily for the autonomous ground vehicle market, but may be adapted for UAS applications. This paper documents a series of ground and flight tests conducted to evaluate the performance of both a small form-factor LiDAR and radar sensors. Obstacle detection range versus obstacle size is determined for both sensors in static and dynamic flight modes.
Document information
Flight-test evaluation of small form-factor LiDAR and radar sensors for sUAS detect-and-avoid applications
2016-09-01
2858693 byte
Conference paper
Electronic Resource
English
Similar titles
Airborne Radar for sUAS Sense and Avoid
| IEEE | 2019
Joint Detect and Avoid Flight Testing
| NTIS | 2015
Joint Detect and Avoid Flight Testing
| NTRS | 2015