ARAS: Ambiguity-aware Robust Active SLAM based on Multi-hypothesis State and Map Estimations
Year: 2020
Type: conference-paper
Institutions: Carnegie Mellon University, Lockheed Martin (United States)
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
Funder: Lockheed Martin
OpenAlex ID: W3132919971
