TY - JOUR
T1 - Visual Odometry Using Pixel Processor Arrays for Unmanned Aerial Systems in GPS Denied Environments
AU - McConville, Alexander
AU - Bose, Laurie
AU - Clarke, Robert
AU - Mayol-Cuevas, Walterio
AU - Chen, Jianing
AU - Greatwood, Colin
AU - Carey, Stephen
AU - Dudek, Piotr
AU - Richardson, Tom
N1 - Funding Information:
This work has been funded as part of the EPSRC funded AGILE project via grants EP/M019284/1 and EP/M019454/1.
Funding Information:
We appreciate the support of the University of Manchester, The University of Bristol, and Bristol robotics Laboratory throughout this work. Funding. This work has been funded as part of the EPSRC funded AGILE project via grants EP/M019284/1 and EP/M019454/1.
Publisher Copyright:
© Copyright © 2020 McConville, Bose, Clarke, Mayol-Cuevas, Chen, Greatwood, Carey, Dudek and Richardson.
PY - 2020/9/29
Y1 - 2020/9/29
N2 - Environments in which Global Positioning Systems (GPS), or more generally Global Navigation Satellite System (GNSS), signals are denied or degraded pose problems for the guidance, navigation, and control of autonomous systems. This can make operating in hostile GNSS-Impaired environments, such as indoors, or in urban and natural canyons, impossible or extremely difficult. Pixel Processor Array (PPA) cameras—in conjunction with other on-board sensors—can be used to address this problem, aiding in tracking, localization, and control. In this paper we demonstrate the use of a PPA device—the SCAMP vision chip—combining perception and compute capabilities on the same device for aiding in real-time navigation and control of aerial robots. A PPA consists of an array of Processing Elements (PEs), each of which features light capture, processing, and storage capabilities. This allows various image processing tasks to be efficiently performed directly on the sensor itself. Within this paper we demonstrate visual odometry and target identification running concurrently on-board a single PPA vision chip at a combined frequency in the region of 400 Hz. Results from outdoor multirotor test flights are given along with comparisons against baseline GPS results. The SCAMP PPA's High Dynamic Range (HDR) and ability to run multiple algorithms at adaptive rates makes the sensor well suited for addressing outdoor flight of small UAS in GNSS challenging or denied environments. HDR allows operation to continue during the transition from indoor to outdoor environments, and in other situations where there are significant variations in light levels. Additionally, the PPA only needs to output specific information such as the optic flow and target position, rather than having to output entire images. This significantly reduces the bandwidth required for communication between the sensor and on-board flight computer, enabling high frame rate, low power operation.
AB - Environments in which Global Positioning Systems (GPS), or more generally Global Navigation Satellite System (GNSS), signals are denied or degraded pose problems for the guidance, navigation, and control of autonomous systems. This can make operating in hostile GNSS-Impaired environments, such as indoors, or in urban and natural canyons, impossible or extremely difficult. Pixel Processor Array (PPA) cameras—in conjunction with other on-board sensors—can be used to address this problem, aiding in tracking, localization, and control. In this paper we demonstrate the use of a PPA device—the SCAMP vision chip—combining perception and compute capabilities on the same device for aiding in real-time navigation and control of aerial robots. A PPA consists of an array of Processing Elements (PEs), each of which features light capture, processing, and storage capabilities. This allows various image processing tasks to be efficiently performed directly on the sensor itself. Within this paper we demonstrate visual odometry and target identification running concurrently on-board a single PPA vision chip at a combined frequency in the region of 400 Hz. Results from outdoor multirotor test flights are given along with comparisons against baseline GPS results. The SCAMP PPA's High Dynamic Range (HDR) and ability to run multiple algorithms at adaptive rates makes the sensor well suited for addressing outdoor flight of small UAS in GNSS challenging or denied environments. HDR allows operation to continue during the transition from indoor to outdoor environments, and in other situations where there are significant variations in light levels. Additionally, the PPA only needs to output specific information such as the optic flow and target position, rather than having to output entire images. This significantly reduces the bandwidth required for communication between the sensor and on-board flight computer, enabling high frame rate, low power operation.
KW - GPS denied
KW - navigation
KW - Parallel Processing
KW - pixel processor array
KW - SIND
KW - UAS
KW - visual odometry
UR - http://www.scopus.com/inward/record.url?scp=85092740223&partnerID=8YFLogxK
U2 - 10.3389/frobt.2020.00126
DO - 10.3389/frobt.2020.00126
M3 - Article
AN - SCOPUS:85092740223
SN - 2296-9144
VL - 7
JO - Frontiers in Robotics and AI
JF - Frontiers in Robotics and AI
M1 - 126
ER -