Mentor/s
Tolga Kaya Cedric Bleimling
Participation Type
Poster
Abstract
The use of autonomous landing of aerial vehicles is increasing in demand. Applications of this ability can range from simple drone delivery to unmanned military missions. To be able to land at a spot identified by local information, such as a visual marker, creates an efficient and versatile solution. This allows for a more user/consumer friendly device overall. To achieve this goal the use of computer vision and an array of ranging sensors will be explored. In our approach we utilized an April Tag as our location identifier and point of reference. MATLAB/Simulink interface was used to develop the platform environment.
College and Major available
Computer Engineering BS
Location
Digital Commons
Start Day/Time
5-5-2021 1:00 PM
End Day/Time
5-5-2021 4:00 PM
Prize Categories
Most Scholarly Impact or Potential, Most Meaningful
Autonomous Aerial Vehicle Vision and Sensor Guided Landing
Digital Commons
The use of autonomous landing of aerial vehicles is increasing in demand. Applications of this ability can range from simple drone delivery to unmanned military missions. To be able to land at a spot identified by local information, such as a visual marker, creates an efficient and versatile solution. This allows for a more user/consumer friendly device overall. To achieve this goal the use of computer vision and an array of ranging sensors will be explored. In our approach we utilized an April Tag as our location identifier and point of reference. MATLAB/Simulink interface was used to develop the platform environment.
Students' Information
Gabriel Bitencourt, Computer Engineering 2021
Elijah Brown, Computer Engineering 2021
Honorable mention, Dean's Prize: Welch College of Business and Technology 2021 award.