Bringing differential GPS to drones

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

I will discuss the use of multiple GPS receivers on drones for orientation estimation. The core challenge is in accurately computing the relative locations between each receiver pair, and translating these measurements into the drone’s 3D orientation. Achieving good orientation accuracy requires the relative GPS distances to be accurate to a few centimeters – a difficult task given that GPS today is only accurate to around 1-4 meters. Moreover, the accuracy needs to be precise even under sharp drone maneuvers, GPS signal blockage, and sudden bouts of missing data. In this talk, I will discuss the design of SafetyNet, an off-the-shelf GPS-only system that addresses these challenges through a series of techniques, culminating in a novel particle filter framework running over multi-GNSS systems (GPS,GLONASS, and SBAS). Results from real flight tests report median orientation accuracies of 2 degrees even under overcast weather conditions.

Original languageEnglish (US)
Title of host publicationProceedings of the 3rd Workshop on Hot Topics in Wireless, HotWireless 2016
PublisherAssociation for Computing Machinery
Number of pages1
ISBN (Print)9781450342513
DOIs
StatePublished - Oct 3 2016
Event3rd ACM Workshop on Hot Topics in Wireless, HotWireless 2016 - New York, United States
Duration: Oct 3 2016Oct 7 2016

Publication series

NameProceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM

Conference

Conference3rd ACM Workshop on Hot Topics in Wireless, HotWireless 2016
CountryUnited States
CityNew York
Period10/3/1610/7/16

Fingerprint

Global positioning system
Drones

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Software

Cite this

Gowda, M. (2016). Bringing differential GPS to drones. In Proceedings of the 3rd Workshop on Hot Topics in Wireless, HotWireless 2016 (Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM). Association for Computing Machinery. https://doi.org/10.1145/2980115.2980122
Gowda, Mahanth. / Bringing differential GPS to drones. Proceedings of the 3rd Workshop on Hot Topics in Wireless, HotWireless 2016. Association for Computing Machinery, 2016. (Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM).
@inproceedings{87674cf74e2743f8aef2522f933c7475,
title = "Bringing differential GPS to drones",
abstract = "I will discuss the use of multiple GPS receivers on drones for orientation estimation. The core challenge is in accurately computing the relative locations between each receiver pair, and translating these measurements into the drone’s 3D orientation. Achieving good orientation accuracy requires the relative GPS distances to be accurate to a few centimeters – a difficult task given that GPS today is only accurate to around 1-4 meters. Moreover, the accuracy needs to be precise even under sharp drone maneuvers, GPS signal blockage, and sudden bouts of missing data. In this talk, I will discuss the design of SafetyNet, an off-the-shelf GPS-only system that addresses these challenges through a series of techniques, culminating in a novel particle filter framework running over multi-GNSS systems (GPS,GLONASS, and SBAS). Results from real flight tests report median orientation accuracies of 2 degrees even under overcast weather conditions.",
author = "Mahanth Gowda",
year = "2016",
month = "10",
day = "3",
doi = "10.1145/2980115.2980122",
language = "English (US)",
isbn = "9781450342513",
series = "Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM",
publisher = "Association for Computing Machinery",
booktitle = "Proceedings of the 3rd Workshop on Hot Topics in Wireless, HotWireless 2016",

}

Gowda, M 2016, Bringing differential GPS to drones. in Proceedings of the 3rd Workshop on Hot Topics in Wireless, HotWireless 2016. Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM, Association for Computing Machinery, 3rd ACM Workshop on Hot Topics in Wireless, HotWireless 2016, New York, United States, 10/3/16. https://doi.org/10.1145/2980115.2980122

Bringing differential GPS to drones. / Gowda, Mahanth.

Proceedings of the 3rd Workshop on Hot Topics in Wireless, HotWireless 2016. Association for Computing Machinery, 2016. (Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Bringing differential GPS to drones

AU - Gowda, Mahanth

PY - 2016/10/3

Y1 - 2016/10/3

N2 - I will discuss the use of multiple GPS receivers on drones for orientation estimation. The core challenge is in accurately computing the relative locations between each receiver pair, and translating these measurements into the drone’s 3D orientation. Achieving good orientation accuracy requires the relative GPS distances to be accurate to a few centimeters – a difficult task given that GPS today is only accurate to around 1-4 meters. Moreover, the accuracy needs to be precise even under sharp drone maneuvers, GPS signal blockage, and sudden bouts of missing data. In this talk, I will discuss the design of SafetyNet, an off-the-shelf GPS-only system that addresses these challenges through a series of techniques, culminating in a novel particle filter framework running over multi-GNSS systems (GPS,GLONASS, and SBAS). Results from real flight tests report median orientation accuracies of 2 degrees even under overcast weather conditions.

AB - I will discuss the use of multiple GPS receivers on drones for orientation estimation. The core challenge is in accurately computing the relative locations between each receiver pair, and translating these measurements into the drone’s 3D orientation. Achieving good orientation accuracy requires the relative GPS distances to be accurate to a few centimeters – a difficult task given that GPS today is only accurate to around 1-4 meters. Moreover, the accuracy needs to be precise even under sharp drone maneuvers, GPS signal blockage, and sudden bouts of missing data. In this talk, I will discuss the design of SafetyNet, an off-the-shelf GPS-only system that addresses these challenges through a series of techniques, culminating in a novel particle filter framework running over multi-GNSS systems (GPS,GLONASS, and SBAS). Results from real flight tests report median orientation accuracies of 2 degrees even under overcast weather conditions.

UR - http://www.scopus.com/inward/record.url?scp=85055246612&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85055246612&partnerID=8YFLogxK

U2 - 10.1145/2980115.2980122

DO - 10.1145/2980115.2980122

M3 - Conference contribution

AN - SCOPUS:85055246612

SN - 9781450342513

T3 - Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM

BT - Proceedings of the 3rd Workshop on Hot Topics in Wireless, HotWireless 2016

PB - Association for Computing Machinery

ER -

Gowda M. Bringing differential GPS to drones. In Proceedings of the 3rd Workshop on Hot Topics in Wireless, HotWireless 2016. Association for Computing Machinery. 2016. (Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM). https://doi.org/10.1145/2980115.2980122