Autonomous Parking Position Determination Using Occupant Needs
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Solution Overview
Problem
Current autonomous navigation systems for vehicles face challenges in efficiently and safely parking within available spaces, particularly due to the lack of consideration for nearby vehicles and occupants' needs, leading to potential collisions and suboptimal space utilization.
Innovation Solution
An autonomous navigation system that determines a parking position within a detected available space based on the proximity and orientation of nearby vehicles and the predicted occupancy of the vehicle's interior, using sensor data to generate control commands for precise navigation and minimize intersection risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the autonomous navigation system centers the vehicle in the parking space based on geometric considerations, then the parking position is determined efficiently, but the system does not account for nearby vehicles and occupants' needs, leading to potential collisions and suboptimal space utilization
Solution Approach 1:
The system performs preliminary detection of nearby vehicles and analysis of occupant needs before determining the final parking position. Sensors detect adjacent vehicles and their door positions in advance, and the system predicts occupant exit requirements based on seating positions, allowing the parking position to be optimized beforehand to avoid collisions while maintaining efficient parking
Solution Approach 2:
The system continuously monitors the environment during the parking process using sensors that detect nearby vehicles, pedestrians, and obstacles. Based on this real-time feedback, the autonomous navigation system adjusts the parking position and trajectory to avoid collisions, ensuring both efficiency and safety
2Ease of operation
If the autonomous navigation system selects parking position based only on geometric centering, then the parking process is simple and fast, but it fails to accommodate occupants' needs and may result in suboptimal space utilization
Solution Approach 1:
The system determines predicted occupancy of vehicle interior portions before executing the parking maneuver. Based on this preliminary analysis of where occupants will be seated and their potential exit needs, the system selects a parking position that accommodates these requirements while maintaining operational simplicity through automated decision-making
Solution Approach 2:
The autonomous navigation system independently analyzes occupant needs and selects the optimal parking position without requiring manual input from occupants. The system serves itself by using sensor data and occupancy predictions to automatically determine the best parking position that accommodates all occupants' requirements
3Reliability
If the autonomous navigation system detects nearby vehicles and determines parking position accordingly, then collision risk is reduced, but the complexity of the parking algorithm increases
Solution Approach 1:
The parking algorithm is segmented into distinct functional modules: a detection module that identifies nearby vehicles and obstacles, an analysis module that evaluates collision risks, an occupancy prediction module that forecasts occupant needs, and a position determination module that selects the optimal parking position. This segmentation reduces overall complexity by making each module's function specific and manageable
Solution Approach 2:
The system introduces an intermediary processing layer between sensor detection and parking position selection. This intermediary module integrates data from multiple sensors, predicts occupant occupancy, and translates raw sensor data into meaningful parking position decisions, thereby managing the complexity of coordinating multiple detection and control functions
Data Source
AI summary
Some embodiments provide an autonomous navigation system which autonomously parks a vehicle in a selected available parking space. The vehicle can be parked in a particular parking position in the parking space based on one or more factors. The particular parking position can be selected from a set of potential parking positions based on an aggregate intersection risk value associated with the particular parking position being less than at least one other potential parking position. The aggregate intersection risk value can be determined based on one or more of a proximity of one or more adjacent vehicles to the parking space, a door sweep volume of the one or more adjacent vehicles, body morphology of one or more present occupants of the vehicle, and predicted occupancy of the vehicle.