In-Vehicle Trajectory Correction for Vehicle-Specific Parking Paths
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Solution Overview
Problem
Existing systems face increased processing loads and reduced accuracy in generating vehicle travel trajectories due to the need to consider a wide variety of vehicle characteristics, leading to complex algorithms and maps that are difficult to update with new vehicle types.
Innovation Solution
An in-vehicle system acquires a base trajectory independent of vehicle parameters and corrects it based on specific vehicle characteristics, distributing the load of considering individual vehicle traits to the in-vehicle system rather than external management systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the parking control apparatus considers all vehicle parameters to generate accurate trajectories, then the accuracy of vehicle travel is improved, but the processing load increases exponentially
Solution Approach 1:
The patent divides the trajectory generation process into two segments: (1) The parking control apparatus generates a base trajectory that is common to all vehicles without considering specific vehicle parameters, and (2) The in-vehicle system corrects this base trajectory by applying the vehicle's specific parameters. This segmentation allows the external system to maintain low processing load while the in-vehicle system handles the vehicle-specific adjustments, thus resolving the contradiction between accuracy and processing load.
Solution Approach 2:
The in-vehicle system performs self-service by autonomously correcting the base trajectory using its own vehicle parameter information. The vehicle's processor applies the vehicle's length, width, and other parameters to adjust the base trajectory, eliminating the need for the external parking control apparatus to process these detailed vehicle-specific parameters, thereby reducing external processing load while maintaining high trajectory accuracy.
2Adaptability or versatility
If the parking control apparatus uses a comprehensive algorithm for all vehicle types, then the adaptability to different vehicles is improved, but the algorithm complexity increases
Solution Approach 1:
The patent extracts the vehicle-specific parameter processing from the external parking control apparatus and relocates it to the in-vehicle system. The external system only needs to provide a generic base trajectory, while the vehicle-specific adaptations are handled locally by each vehicle's own processor using its stored vehicle parameter information. This extraction simplifies the external algorithm while maintaining universal adaptability through local customization.
Solution Approach 2:
The base trajectory generated by the parking control apparatus serves as a universal foundation that can be applied to all vehicle types. Each vehicle then uses its specific parameters to customize this universal base trajectory, allowing the external system to maintain a simple, universal algorithm while the in-vehicle systems provide the necessary vehicle-specific adaptations, achieving both universality and specificity without complex external algorithms.
3Adaptability or versatility
If the parking control apparatus updates trajectory maps for new vehicle types, then the adaptability to new vehicles is improved, but the maintenance complexity increases
Solution Approach 1:
The vehicle's in-vehicle system performs preliminary action by pre-storing its own vehicle parameter information (length, width, and other characteristics) in its memory before needing trajectory generation. When a new vehicle type is introduced, the vehicle simply inputs its pre-collected parameter data, and the system automatically generates the appropriate trajectory corrections without requiring external system updates. This preliminary preparation eliminates the need for maintenance personnel to update trajectory maps for new vehicle types.
Solution Approach 2:
The in-vehicle system provides self-service functionality by autonomously handling new vehicle type integration. Each vehicle independently inputs its own parameter information, and the vehicle's processor automatically generates the necessary trajectory corrections using its stored parameters. This self-service approach eliminates the need for external system administrators to update or maintain trajectory maps when new vehicle types are introduced, significantly reducing maintenance complexity.
Data Source
AI summary
The present disclosure is directed to an in-vehicle system mounted on a vehicle. The in-vehicle system includes: one or more processors configured to acquire a target trajectory of the vehicle to a destination in a predetermined area; and one or more memories configured to store information of a vehicle parameter contributing to a passing region of the vehicle. The one or more processors are further configured to acquire information on a base trajectory that is a trajectory to the destination in the predetermined area and does not depend on the vehicle parameter. The one or more processors are further configured to acquire the target trajectory specific to the vehicle by correcting the base trajectory based on the vehicle parameter.