Parking Route Replay With Speed and Steering Correction
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Solution Overview
Problem
Conventional parking assistance technologies face challenges in adapting vehicle speed and steering motions learned during manual driving to be suitable for automated driving, leading to suboptimal performance in automated parking scenarios.
Innovation Solution
A parking assistance device that learns a travel route, speed, steering angle, and braking operations during manual teaching travel and modifies them based on regulations, environmental, and geographic information to ensure compliance with automated driving standards, thereby enabling smooth automated parking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If the vehicle travels automatically along a learned travel route without modification, then the automation level is high, but the vehicle behavior is not suitable for automated driving standards
Solution Approach 1:
The system modifies speed, steering angle, and braking operation parameters of the learned travel route to ensure compliance with automated driving standards. The correction unit adjusts these parameters based on regulations and environmental information while preserving the overall automated driving function.
2Ease of operation
If the speed and steering motion from manual teaching travel are used directly, then the ease of operation is high, but the suitability for automated driving is low
Solution Approach 1:
The system changes speed, steering angle, and braking parameters from manual teaching values to automated driving suitable values. The correction unit modifies these parameters based on automated driving regulations and environmental conditions while maintaining the ease of initial teaching.
Solution Approach 2:
The system uses environmental information and geographic information as feedback to continuously adjust the learned travel route parameters. This feedback mechanism ensures that the modified parameters remain suitable for automated driving under varying conditions.
3Measurement precision
If manual driving behavior is replicated in automated travel, then the fidelity to original route is high, but the compliance with automated driving regulations is low
Solution Approach 1:
The system modifies specific parameters (speed, steering angle, braking) of the learned route to ensure regulation compliance while maintaining fidelity to the original routing and stopping points. The correction unit adjusts parameters within acceptable ranges to balance both requirements.
Data Source
AI summary
A parking assistance device according to the present disclosure performs automatic travel of a vehicle based on teaching travel by a driver. The parking assistance device includes a memory and a hardware processor coupled to the memory. The hardware processor is configured to: learn a travel route for parking the vehicle in a parking position and a speed, a steering angle, and braking operation of the vehicle during the teaching travel, based on the teaching travel; and modify the speed, the steering angle, or the braking operation in the automatic travel of the vehicle from the speed, the steering angle, or the braking operation in the teaching travel, based on any of a regulation for the automatic travel of the vehicle, environmental information relating to an environment around the vehicle, or geographic information relating to a road condition around the vehicle.


