Parking Route Drivability Assessment for Obstacle-Aware Auto Parking
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Solution Overview
Problem
Conventional parking assistance systems do not assess the drivability of a recorded driving route before automatic parking, potentially leading to obstacles that prevent successful vehicle movement.
Innovation Solution
An information processing device that includes a communication unit to receive vehicle identification information and a processor to detect obstacles, determining drivability along a recorded driving route and transmitting the result to an in-vehicle device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If automatic parking is performed using a recorded driving route without pre-assessment, then parking automation is achieved, but safety and reliability deteriorate due to undetected obstacles
Solution Approach 1:
The system performs preliminary obstacle detection and drivability assessment before the automatic parking operation begins. The processor analyzes the recorded driving route against current sensor data to identify potential obstacles in advance, allowing the system to warn the driver or select an alternative route before movement occurs, thus maintaining automation while ensuring safety.
Solution Approach 2:
The system continuously monitors the parking environment using sensors and compares real-time data with the recorded driving route. This feedback mechanism enables the processor to detect changes in the environment (such as new obstacles) and provide warnings or route adjustments, ensuring reliable automatic parking operation.
2Reliability
If obstacle detection is performed continuously during parking, then safety is improved, but processing time and computational load increase
Solution Approach 1:
The system performs a preliminary drivability assessment by comparing the recorded driving route with current sensor data before the parking maneuver begins. This advance analysis identifies potential obstacles and allows time for driver warning or route selection without delaying the actual parking execution, thus maintaining detection accuracy while minimizing processing time impact.
Solution Approach 2:
The system focuses obstacle detection efforts on specific high-risk areas along the recorded driving route rather than performing exhaustive continuous monitoring of the entire environment. The processor analyzes sensor data selectively at critical positions identified from the route geometry, achieving sufficient safety with reduced computational load and faster processing.
Data Source
AI summary
An information processing device according to the present disclosure includes a communication unit and a processor. The communication unit receives, from an in-vehicle device, vehicle identification information by which a vehicle is identifiable. The processor is configured to: detect an obstacle; and determine whether the vehicle is drivable along a driving route, according to a position of the detected obstacle and the driving route. Furthermore, the communication unit transmits a result of determination of drivability to the in-vehicle device.