Autonomous Driving Slope Correction for Target Vehicle Recognition
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Solution Overview
Problem
Autonomous vehicles face challenges in navigating uneven terrain due to the lack of technology that effectively accounts for varying road slopes, leading to potential safety and accuracy issues in driving algorithms designed for even ground.
Innovation Solution
An autonomous driving method that recognizes and corrects the slope of both the host vehicle and target vehicles, adjusting speed and distance calculations based on slope differences to ensure safe and precise navigation on uneven roads, using sensors and cameras to determine slopes and predict blind spots.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If autonomous driving algorithms are designed based on even ground assumptions, then the system complexity is reduced and ease of manufacture is improved, but measurement precision and reliability deteriorate when operating on uneven roads with varying slopes
Solution Approach 1:
The system dynamically changes the coordinate system parameters based on detected road slope. By calculating the slope angle and transforming the image coordinate system accordingly, the algorithm adapts to uneven terrain while maintaining recognition accuracy. This resolves the contradiction by making the algorithm design flexible enough for varying conditions without requiring completely different algorithms for each terrain type.
Solution Approach 2:
The system transitions from a static even-ground assumption to a dynamic slope-compensated model. The coordinate transformation parameters are continuously updated based on real-time slope detection, allowing the recognition system to adapt to changing road conditions. This dynamic approach maintains measurement precision across different terrains while building upon the original algorithm framework.
2Measurement precision
If slope correction is implemented for target vehicle recognition, then measurement precision and reliability are improved, but device complexity and calculation load increase
Solution Approach 1:
The system replaces complex mechanical or hardware solutions with computational methods. Instead of using additional sensors or complex mechanical adjustments to compensate for slope, the invention uses image processing algorithms and coordinate transformations to achieve the same effect. This substitution maintains measurement precision while avoiding increased hardware complexity.
Solution Approach 2:
The coordinate transformation serves as an intermediary step between raw image data and target vehicle recognition. By introducing this mathematical transformation layer, the system can correct for slope effects without requiring direct physical measurements or complex hardware modifications. The intermediary transformation simplifies the overall system architecture while improving accuracy.
3Reliability
If slope detection and correction mechanisms are added, then reliability and safety are improved, but ease of operation and processing time increase
Solution Approach 1:
The system performs preliminary slope detection and coordinate system transformation before target vehicle recognition. By pre-establishing the corrected coordinate framework, subsequent recognition operations can proceed efficiently without repeated calculations. This preliminary action improves reliability by ensuring accurate measurements while minimizing time loss through proactive preparation.
Solution Approach 2:
The slope correction process is integrated continuously into the autonomous driving operation rather than being a separate batch process. The coordinate transformation occurs in real-time as part of the normal sensing and recognition workflow, maintaining continuous useful action. This approach ensures reliability through constant correction while avoiding significant time losses by making the correction an inherent part of the processing pipeline.
Data Source
AI summary
An autonomous driving method includes: recognizing a target vehicle; determining a first slope of a host vehicle and a second slope of the target vehicle; correcting a result of the recognizing of the target vehicle based on the first slope and the second slope; and controlling the host vehicle based on the corrected result of the recognizing of the target vehicle.