Driving Assistance Device Path Suitability Modification
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Solution Overview
Problem
Existing driving assistance systems for vehicles in parking lots struggle to select optimal travel paths, particularly in wide-width passages, as they often generate paths that result in back-and-forth movements, without providing means to evaluate or modify these paths for suitability.
Innovation Solution
A driving assistance device and computer program that obtain intra-parking-lot networks, generate candidate entry and exit paths, evaluate their suitability, and modify them based on specific conditions to reduce unsuitable operations like back-and-forth movements, providing more appropriate travel paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a travel path is generated that travels through locations more on the left or right side of a wide-width passage, then the travel path may avoid certain obstacles, but it causes back-and-forth movements and reduces travel efficiency
Solution Approach 1:
The system evaluates the generated travel path by calculating a suitability index that considers multiple factors including the position relative to passage center, number of back-and-forth movements, and travel distance. This feedback mechanism allows the system to identify and correct suboptimal paths that cause inefficiency while maintaining the flexibility to adapt to different passage widths and obstacles
Solution Approach 2:
The system modifies path generation parameters dynamically based on passage characteristics. For wide-width passages, it adjusts the preferred position from center to left or right sides when appropriate, while for narrow passages it maintains center positioning. The suitability index calculation incorporates multiple parameters that are weighted and adjusted based on specific conditions to optimize the balance between adaptability and efficiency
2Adaptability or versatility
If multiple candidate travel paths are generated to provide options, then the system offers more choices, but it increases computational complexity and processing time
Solution Approach 1:
The path evaluation process is segmented into distinct stages: first generating multiple candidate paths using different generation conditions, then evaluating each candidate independently using the suitability index, and finally selecting the optimal path. This segmentation allows the system to maintain multiple options without overwhelming computational complexity at any single stage
Solution Approach 2:
The system generates multiple candidate paths (excessive action) but evaluates them using a focused suitability index that prioritizes the most critical factors. This partial evaluation approach allows the system to consider multiple options while avoiding the need to perform exhaustive analysis of every possible path parameter, thus managing complexity effectively
Data Source
AI summary
Provided is a driving assistance device allowing, when a vehicle is parked in a parking lot, provision of driving assistance based on an appropriate travel path. The device is configured such that when a vehicle is parked in a parking lot, an intra-parking-lot network representing a route that can be selected by the vehicle in the parking lot is obtained. Using this network, a candidate entry path for a vehicle's travel path from an entrance to the parking lot to a parking location is generated and obtained using the intra-parking-lot network based on a first condition. If determined that the condition for suitability is not satisfied, the candidate entry path determined not to satisfy the condition for suitability is modified based on a second condition different from the first condition and driving assistance is provided based on the modified candidate entry path.