Autonomous Parking ROI Control for On-Coming Traffic
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Solution Overview
Problem
Existing parking assistance systems often abort parking maneuvers due to on-coming traffic, leading to increased time searching for unoccupied parking spots during parking-in processes and prolonged waiting in occupied spots during parking-out processes.
Innovation Solution
A driver assistance system that includes detection sensors and an Electronic Control Unit (ECU) to monitor on-coming traffic within a defined Region of Interest (ROI) based on navigational speed limits, allowing for continuous parking processes by adjusting trajectories and maneuvers accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the parking assistance device aborts the planned maneuver upon recognizing on-coming traffic, then the safety of the parking operation is improved, but the time efficiency deteriorates as the vehicle must search for another parking space or pull back
Solution Approach 1:
The system applies different monitoring standards to different spatial zones by defining a Region of Interest (ROI) around the vehicle. The ROI is determined based on navigational speed limit data, creating a localized safety zone that is larger than traditional monitoring areas. This allows the system to maintain safety while reducing unnecessary aborts caused by distant traffic that doesn't pose an immediate threat.
Solution Approach 2:
The system performs preliminary risk assessment by pre-defining the Region of Interest based on speed limit data before the parking maneuver begins. This preliminary action allows the vehicle to proceed with parking operations without unnecessary interruptions, as the system has already identified which areas require monitoring and what safety thresholds apply.
2Measurement precision
If the parking assistance device monitors a large area for on-coming traffic, then the detection accuracy is improved, but the system complexity increases
Solution Approach 1:
The system dynamically adjusts the monitoring parameters by using navigational speed limit data to determine the extent of the Region of Interest. Speed limits serve as a parameter that defines the spatial and temporal boundaries of traffic monitoring, allowing the system to scale its detection efforts appropriately without requiring complex manual configuration.
Data Source
AI summary
A method for executing an autonomous parking process of a vehicle using a driver assistance system includes sensing an external environment of the vehicle, receiving coordinates identifying a location of the vehicle, receiving a navigational speed limit that is associated with the location identified by the coordinates, and transmitting data associated with the external environment and the navigational speed limit to an Electronic Control Unit of the vehicle. The method further includes carrying out the autonomous parking process of the vehicle, determining a region of interest of the external environment of the vehicle based on the data and the navigational speed limit, and monitoring on-coming traffic within the region of interest.