Driving Support Apparatus Coordinate Synchronization for 3D Map Synthesis
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Solution Overview
Problem
Existing systems cannot generate a three-dimensional map that accurately displays objects around a vehicle, including those outside the detection range of onboard sensors, leading to incomplete and inaccurate representations.
Innovation Solution
A driving support apparatus that includes a map generation unit, a coordinate synchronization unit, and a synthesizing unit to convert and combine three-dimensional maps from both onboard and external sources into a common coordinate system, enabling the creation of an expanded composite map that includes undetected objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only onboard radar detection is used to generate the map, then the device complexity is reduced, but the measurement precision and detection range are limited
Solution Approach 1:
The patent combines multiple data sources including onboard radar, roadside cameras, and other external sensors to generate a comprehensive three-dimensional map. By merging these different detection systems, the patent achieves superior measurement precision and extended detection range while maintaining manageable system complexity through integrated processing.
Solution Approach 2:
The map generation system is designed to accept and process data from multiple types of sensors and detection devices. The system can universally handle data from onboard radars, roadside cameras, and other external apparatus, making it a multi-functional detection platform that adapts to various sensing modalities.
2Area of stationary object
If multiple data sources are integrated to expand detection range, then the detection range is improved, but the coordinate synchronization complexity increases
Solution Approach 1:
The patent introduces a coordinate conversion unit as an intermediary component that handles the complex coordinate synchronization task. This unit receives detection results from multiple coordinate systems (onboard radar, roadside cameras, external apparatus) and converts them into a unified coordinate system, thereby managing the synchronization complexity centrally rather than requiring direct coordination between all sensor pairs.
Solution Approach 2:
The coordinate synchronization process is segmented into distinct functional steps: first, each sensor's detection results are independently processed in its own coordinate system; second, the coordinate conversion unit performs systematic conversion to a unified coordinate system; third, the synthesized map is generated from the converted data. This segmentation simplifies the overall complexity by breaking down the synchronization task into manageable stages.
3Ease of operation
If images are synthesized based on radar detection information, then the ease of operation is improved, but the reliability decreases when objects are outside radar detection range
Solution Approach 1:
The patent merges detection results from multiple sources including onboard radar, roadside cameras, and other external sensors. By combining these diverse data sources, the system maintains reliability for objects outside radar range while preserving ease of operation through unified map presentation. The synthesis integrates complementary information from different sensors rather than relying on a single source.
Solution Approach 2:
The system uses feedback from multiple detection sources to validate and correct object positions. When objects are detected by multiple sensors, their positions are cross-validated, improving reliability. The coordinate conversion unit continuously adjusts and refines the unified coordinate representation based on feedback from all sensor inputs, ensuring accurate object positioning even when individual sensors have limitations.
Data Source
AI summary
A driving support apparatus (10) converts at least one of a first map (43) and a second map (53) so that the first map (43) and the second map (53) become three-dimensional maps in a same coordinate system. The first map (43) is a three-dimensional map indicating three-dimensional positions of objects around a vehicle (100). The second map (53) is a three-dimensional map indicating three-dimensional positions of objects around an external apparatus (200) that is one of a roadside apparatus (201) and a different vehicle (202) from the vehicle (100). Then, the driving support apparatus (10) synthesizes the first map (43) and the second map (53) after the conversion, thereby generating a composite map (44).