Parking Trajectory Learning That Removes Corrective Maneuvers
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Solution Overview
Problem
Modern parking assistance systems often store and replicate driver errors during the initial parking process, leading to inefficient and time-consuming parking maneuvers, limiting driver convenience.
Innovation Solution
A parking assistance apparatus that records environment data and driver-performed parking trajectories, analyzes them to determine a more efficient trained parking trajectory, and allows for automatic execution or driver confirmation, thereby optimizing the parking path and reducing unnecessary movements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If the Trained Parking system automatically establishes the trajectory initially traveled by the driver, then the system can learn and replicate parking maneuvers, but driver errors and unnecessary corrective movements are stored and performed in the trained parking maneuver, increasing time consumption
Solution Approach 1:
The system records environment data during the driver's parking maneuver and compares it with the learned trajectory. When deviations or corrective movements are detected, the system provides feedback to exclude these segments from the trained parking trajectory, preventing error propagation in future automated maneuvers.
Solution Approach 2:
The system performs preliminary analysis of the driver's parking trajectory by recording and storing environment data before finalizing the trained parking maneuver. This preliminary action allows the system to identify and exclude unnecessary corrective movements in advance, ensuring only optimal path segments are learned and replicated.
2Reliability
If the driver manually performs corrective movements during parking, then the parking maneuver can be completed successfully, but these corrective movements are stored in the Trained Parking system and replicated automatically, reducing driver convenience
Solution Approach 1:
The system monitors the driver's parking trajectory and compares it with recorded environment data. When corrective movements are detected, the system provides feedback to exclude these segments from the trained trajectory, ensuring that only necessary movements are learned while maintaining parking success.
Solution Approach 2:
The system extracts and excludes unnecessary corrective movements from the driver's parking trajectory by comparing the actual path with environment data. This extraction process removes error segments while preserving the essential parking maneuvers, improving both reliability and driver convenience.
3Productivity
If the system stores and replicates the initial driver trajectory, then the trained parking function can be established quickly, but the parking process becomes time-consuming due to unnecessary corrective movements
Solution Approach 1:
The system performs preliminary recording and analysis of environment data during the driver's parking maneuver. This preliminary action enables the system to identify and exclude unnecessary movements before finalizing the trained trajectory, ensuring efficient learning without time-consuming errors in future maneuvers.
Solution Approach 2:
The system uses feedback from recorded environment data to optimize the learned trajectory. By comparing the driver's actual path with environmental constraints, the system identifies and excludes unnecessary corrective movements, improving both learning efficiency and execution time.
Data Source
AI summary
A parking assistance apparatus for aiding a driver of a motor vehicle with a parking process, having an environment recording unit configured to record environment data of the motor vehicle at least during a parking process, having a storage unit configured to at least temporarily store the parking trajectory performed by the driver during the parking process and the recorded environment data, and having a processing unit configured to determine a trained parking trajectory, wherein in order to determine the trained parking trajectory, the processing unit is configured to check the driver-performed parking trajectory for a more efficient parking trajectory.