Abstract
Autonomous navigation in a city-scale environment brings several technical challenges that are difficult to solve by traditional approaches. In this paper, we briefly discuss the limitations of the conventional navigation methods based on robot-centered environment modeling and understanding, and present recent an ongoing developments of the DeepGuider Project. The DeepGuider Project aims to develop a navigation guidance system that enables robots to navigate in urban environment without pre-mapping of the environment. In the paper, the main concepts and overall system architecture is briefly presented.
| Original language | English |
|---|---|
| Pages (from-to) | 48-52 |
| Number of pages | 5 |
| Journal | CEUR Workshop Proceedings |
| Volume | 2487 |
| State | Published - 2019 |
| Event | Joint 1st International Workshop on the Semantic Descriptor, Semantic Modeling and Mapping for Humanlike Perception and Navigation of Mobile Robots toward Large Scale Long-Term Autonomy and the 3rd International Workshop on the Applications of Knowledge Representation and Semantic Technologies in Robotics, SDMM 2019 and AnSWeR 2019 - Macau, China Duration: 8 Nov 2019 → … |