TY - GEN
T1 - A modular, extensible framework for modern visual SLAM systems
AU - Semenova, Sofiya
AU - Meshram, Pranay
AU - Chase, Timothy
AU - Ko, Steven Y.
AU - Liu, Yu David
AU - Ziarek, Lukasz
AU - Dantu, Karthik
N1 - Publisher Copyright: © 2022 Owner/Author.
PY - 2022/6/27
Y1 - 2022/6/27
N2 - Visual SLAM is a long-standing research area with many significant advances over the years. New systems typically build on previous contributions, but this requires significant development overhead, a highly detailed understanding of previous system implementations, and is rife with programming pitfalls. To enable fast experimentation and reduce the need for researchers to re-invent the wheel, we propose an extensible Visual SLAM framework with three features: modularity, seamless edge offloading, and safe concurrency.
AB - Visual SLAM is a long-standing research area with many significant advances over the years. New systems typically build on previous contributions, but this requires significant development overhead, a highly detailed understanding of previous system implementations, and is rife with programming pitfalls. To enable fast experimentation and reduce the need for researchers to re-invent the wheel, we propose an extensible Visual SLAM framework with three features: modularity, seamless edge offloading, and safe concurrency.
UR - https://www.scopus.com/pages/publications/85134027259
U2 - 10.1145/3498361.3538793
DO - 10.1145/3498361.3538793
M3 - Conference contribution
T3 - MobiSys 2022 - Proceedings of the 2022 20th Annual International Conference on Mobile Systems, Applications and Services
SP - 579
EP - 580
BT - MobiSys 2022 - Proceedings of the 2022 20th Annual International Conference on Mobile Systems, Applications and Services
PB - Association for Computing Machinery, Inc
T2 - 20th ACM International Conference on Mobile Systems, Applications and Services, MobiSys 2022
Y2 - 27 June 2022 through 1 July 2022
ER -