Map Matching for Reverse Driving Mode Detection
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Solution Overview
Problem
Conventional navigation devices struggle to accurately display vehicle movements during reverse driving, leading to complications and potential distractions due to the alignment of heading and movement direction, which existing systems are not equipped to handle efficiently in terms of processor resources.
Innovation Solution
A method and device that monitor movement direction and orientation to detect switches between forward and backward driving, adjusting distance offsets and road graph expansions accordingly, allowing for processor-efficient handling of reverse driving by disabling driving restrictions and resetting map matching and prediction processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional map matching and prediction processes are used for reverse driving, then the navigation device can display vehicle movements, but the display shows oscillations and U-turn artifacts due to misalignment between heading and movement direction
Solution Approach 1:
The system dynamically switches between forward and backward driving modes based on real-time detection of heading-movement alignment. When reverse driving is detected (misalignment between heading and movement direction), the system automatically activates backward mode, which inverts the interpretation of movement data relative to heading, thereby eliminating oscillation artifacts and providing accurate movement representation without driver confusion.
Solution Approach 2:
The system changes the interpretation parameters of movement data based on detected driving mode. In backward mode, the system inverts the sign or direction interpretation of movement vectors relative to heading, transforming the problematic oscillating pattern into accurate reverse driving representation. This parameter transformation resolves the contradiction by adapting the measurement interpretation to the actual driving condition.
2Measurement precision
If both forward and backward road graph expansions are maintained simultaneously to handle reverse driving, then accurate reverse driving representation is achieved, but processor resources are exceeded
Solution Approach 1:
The system dynamically maintains only the necessary road graph expansion for the current detected mode. When forward driving is detected, only forward road graph expansion is maintained; when reverse driving is detected, the system switches to backward mode and maintains backward road graph expansion. This dynamic adaptation eliminates the need to simultaneously maintain both expansions, reducing processor memory and computational resource consumption while preserving accurate reverse driving representation.
3Adaptability or versatility
If conventional navigation systems continuously monitor and process both heading and movement direction data, then they can detect reverse driving, but the processing complexity and resource usage increase significantly
Solution Approach 1:
The system preemptively detects the misalignment between heading and movement direction as an indicator of reverse driving before problematic oscillations manifest in the display. By detecting this misalignment condition early, the system can switch to backward mode in advance, preventing the occurrence of display artifacts and eliminating the need for complex post-processing or correction algorithms, thereby reducing overall processing complexity while maintaining high adaptability.
Data Source
AI summary
A mobile device associated with a road vehicle or the like, has a mapping or navigation functionality configured to determining whether the vehicle is in a forwards or backwards driving mode. When a change of driving mode is detected, the mapping functionality effectively resets so that the transition between driving modes is rendered smoothly and efficiently.