Automatic Parking Door Clearance Prediction Around Obstacles
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Solution Overview
Problem
Existing parking assistance systems fail to predict whether a vehicle door can be opened or closed after automatic parking, leading to difficulties in getting on or off the vehicle due to obstacles or ground conditions, which are not visible from inside the vehicle.
Innovation Solution
A parking assistance device equipped with a determination unit, obstacle acquisition unit, prediction unit, and notification unit to determine a parking area, detect obstacles, predict the openable amount of vehicle doors, and notify the user of the predicted openable amount before automatic parking, using sensors and image processing to generate a bird's-eye view image with door-opening degree overlays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic parking is performed without predicting door openability, then parking efficiency is improved, but user convenience deteriorates due to inability to access vehicle
Solution Approach 1:
The system performs preliminary action by predicting door openability before automatic parking execution. The prediction unit calculates whether doors can be opened after parking based on detected obstacle positions and vehicle parking positions, then notifies users in advance. This allows users to make informed decisions about parking location selection or alternative arrangements, resolving the contradiction between efficient automatic parking and user accessibility.
2Ease of operation
If door openability is predicted and notified, then user convenience is improved, but system complexity increases
Solution Approach 1:
The system applies universality by making the existing parking assistance components serve multiple functions. The detection unit originally designed for obstacle detection during parking is also used for predicting door openability. The notification unit, already present for parking status updates, is extended to convey door openability information. This multi-functional approach enables enhanced user convenience without proportionally increasing system complexity.
3Measurement precision
If obstacles around parking area are detected, then prediction accuracy is improved, but measurement difficulty increases due to ground conditions
Solution Approach 1:
The system applies segmentation by dividing the detection task into distinct components: the detection unit identifies obstacles around the parking area, the prediction unit separately calculates door openability based on detected positions and vehicle parameters, and the notification unit communicates results. This segmentation allows each component to specialize in specific measurement challenges, improving overall prediction accuracy while managing the complexity of detecting various obstacle types and ground conditions.
Data Source
AI summary
A parking assistance device for assisting automatic parking of a vehicle includes a determination unit, an obstacle acquisition unit, a prediction unit, and a notification unit. The determination unit determines a parking area for the automatic parking. The obstacle acquisition unit acquires an obstacle around the determined parking area before the automatic parking. The prediction unit predicts an openable amount, by which a door of the vehicle is openable, based on a detection result of the obstacle acquisition unit when the vehicle is to be automatically parked in the determined parking area. The notification unit notifies the openable amount predicted by the prediction unit.