Autonomous Robot Navigation Using Combined HD and Non-HD Maps
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Solution Overview
Problem
Autonomous driving robots face challenges in navigating areas where high definition maps are not available, leading to inaccuracies and difficulties in route planning and safety.
Innovation Solution
A control system that combines non-high definition maps with high definition maps to create a combined map, allowing robots to navigate using non-high definition maps in unacquired areas, and enables data collection to create high definition maps on the fly, incorporating travelable and non-travelable areas for precise navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the robot uses only high definition map for navigation, then navigation precision is improved, but the robot cannot operate in areas where high definition map is not acquired
Solution Approach 1:
The patent merges high definition map and non-high definition map into a combined map that integrates detailed navigation information from HD maps with broad area coverage from non-HD maps. This allows the robot to operate across diverse areas while maintaining navigation precision where HD data is available.
Solution Approach 2:
The control system implements multi-functional map usage by selecting appropriate map types based on location. The system can switch between HD map mode for precision navigation and non-HD map mode for area exploration, making the navigation system universally applicable across different operational scenarios.
2Adaptability or versatility
If the robot uses non-high definition map in unacquired areas, then operational area coverage is improved, but navigation precision deteriorates
Solution Approach 1:
The patent applies local quality by providing different map resolutions in different spatial locations. Areas with HD map data receive high-precision navigation, while unacquired areas use non-HD maps for basic navigation. This localized approach optimizes precision where available while ensuring coverage elsewhere.
Solution Approach 2:
The navigation system dynamically adapts its precision based on map availability. As the robot explores new areas and collects data to create HD maps, the navigation precision in those areas improves over time. The system transitions from lower precision non-HD map navigation to higher precision HD map navigation as areas are acquired.
3Measurement precision
If the robot collects data to create high definition map on the fly, then map accuracy is improved, but system complexity and data processing requirements increase
Solution Approach 1:
The patent implements preliminary action by pre-planning data collection routes and priorities based on the combined map. The control system identifies areas that would benefit most from HD map creation and directs the robot to collect data systematically, reducing unnecessary data processing while improving map accuracy in priority areas.
Data Source
AI summary
In an autonomous driving robot control system using a non-high definition map and a high definition map which is capable of operating a robot even in an area where the high definition map is not acquired, and a method of driving the same, the system includes: a control system; and a robot controlled according to an instruction from the control system, wherein the robot searches for a travel route based on the high definition map in a high definition map acquired area, and the robot searches for a travel route based on the non-high definition map in a high definition map unacquired area.