Mobile Platform Path Control Using HD Maps and Motion History
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Solution Overview
Problem
Existing autonomous navigation systems for mobile platforms, particularly in urban environments, face challenges due to inaccurate positioning and navigation errors caused by complex road networks and GPS interference, leading to issues such as missing intersections and non-target road navigation.
Innovation Solution
A control method that integrates high-definition map information and historical motion information to generate control instructions for mobile platforms, enhancing navigation accuracy and safety by leveraging complementary strengths of both data sources, with dynamic weight adjustments and real-time sensing to adapt to changing environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If GPS-based positioning is used for autonomous navigation, then the system can provide global coverage, but positioning accuracy deteriorates in urban environments with GPS interference
Solution Approach 1:
The patent combines GPS positioning with visual positioning technology to create a hybrid positioning system. The visual positioning module captures images of road signs, buildings, and other environmental features to determine position, while GPS provides coarse global location. This merging allows the system to maintain global coverage capability while achieving high precision positioning in GPS-denied urban environments by relying on visual features.
2Measurement precision
If high-definition maps are used for navigation, then route guidance accuracy is improved, but the system fails to adapt to changes in the road environment
Solution Approach 1:
The patent implements a feedback mechanism where the visual positioning module continuously captures real-time images of the road environment and compares them with pre-stored high-definition map data. When discrepancies are detected (such as new road signs, construction, or environmental changes), the system updates its positioning based on current visual information and can trigger map updates. This feedback loop enables the system to maintain accurate route guidance while adapting to environmental changes.
3Ease of operation
If traditional aided driving schemes are used, then the system can operate on urban roads, but navigation accuracy deteriorates due to complex road networks and GPS interference
Solution Approach 1:
The patent introduces visual features (road signs, buildings, landmarks) as intermediary elements for positioning. Instead of relying directly on GPS signals which are blocked or interfered with in urban canyons, the system uses these visual intermediaries to infer position. The visual positioning module acts as an intermediary that translates environmental visual information into accurate position data, enabling operable autonomous navigation on complex urban roads with maintained high accuracy.
Data Source
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AI summary
Disclosed are a control method and control apparatus for a mobile platform, a mobile platform, and a storage medium. The method includes: acquiring a target path along which the mobile platform moves; acquiring target information including high-definition map information and historical motion information, where the high-definition map information and the historical motion information are associated with the target path; and generating, based on the target information, a control instruction used for controlling the mobile platform to move along the target path. Regarding a mobile platform, a target path along which the mobile platform moves and target information which is associated with the target path and includes high-definition map information and historical motion information may be acquired, and a control instruction used for controlling the mobile platform to move along the target path may be generated flexibly based on the target information, such that the mobile platform may perform autonomous navigation along the target path more safely, rationally, and accurately.