Conference proceeding
Traversability Assessment and Reachability Analysis for Unmanned Ground Vehicles through Image Segmentation
Conference Proceedings: 2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 10092223
IEEE Applied Imagery Pattern Recognition (AIPR 2022) (DC, USA, 10/11/2022–10/13/2022)
04/10/2023
Web of Science ID: WOS:000991969300025
Abstract
A major hurdle for unmanned vehicles is to autonomously navigate in an unstructured environment with different types of terrain traversability. Autonomous navigation requires several tasks, including generating a map from raw data, potentially combining data coming from different sources, interpreting the data to understand traversability, planning a suitable route to the goal, and executing that route. In this study, our objective is to provide a segmentation based traversability assessment and reachability analysis of the environment scenes that would enable more sophisticated decision making with respect to operational maneuvers.
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Details
- Title
- Traversability Assessment and Reachability Analysis for Unmanned Ground Vehicles through Image Segmentation
- Publication Details
- Conference Proceedings: 2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 10092223
- Resource Type
- Conference proceeding
- Conference
- IEEE Applied Imagery Pattern Recognition (AIPR 2022) (DC, USA, 10/11/2022–10/13/2022)
- Publisher
- IEEE
- Copyright
- © 2022, IEEE
- Identifiers
- WOS:000991969300025; 99380176594406600
- Academic Unit
- Intelligent Systems and Robotics
- Language
- English