Bridge Avoidance in River-Based Drone Autonomy

Satyanarayanan, Mahadev

i

Bridge Avoidance in River-Based Drone Autonomy

2023-07-25
By Satyanarayanan, Mahadev

File Language:

English

Details

Creators:

Satyanarayanan, Mahadev
Corporate Creators:

Mobility21, Carnegie Mellon University
Corporate Contributors:

Transportation Northwest Regional Center X (TransNow) (UTC) ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:

Bridges Drones Global Positioning System Machine Vision Navigation Obstructions (Navigation) Rivers Software Wireless Communication Systems
Publication/ Report Number:

69A3551747111
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report
Corporate Publisher:

Mobility21, Carnegie Mellon University
Abstract:

This research aims to create open-source autonomous drone software to transform rivers into 21st century drone highways. The research team will explore vision-based navigation on ultra-light drones, with offloading of compute-intensive processing over wireless links to ground-based infrastructure. A major challenge is the presence of numerous bridges, whose large metallic structures distort wireless signals and lead to unreliable GPS-based navigation. Overcoming this will be the focus of the team's research.
Format:

PDF
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha256:7198a502f573883655bc994006d22da516120b6b237c73ffbbaa7b308e66741d
Download URL:

https://rosap.ntl.bts.gov/view/dot/68382/dot_68382_DS1.pdf
File Type:

[PDF - 4.73 MB ]

File Language:

English

ON THIS PAGE

Details

ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.