Autonomous Parking Path Control for Unexpected Obstacle Detection
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Solution Overview
Problem
Conventional vehicle control systems face difficulties in providing effective parking assistance when unexpected objects appear during autonomous traveling, which can hinder the vehicle's ability to navigate to a parking target position.
Innovation Solution
A vehicle control method that integrates a sensor device to detect changes in the vehicle's surroundings, a display device to highlight unexpected objects, and a movement control device to adjust steering based on detected objects, ensuring safe autonomous parking by highlighting potential obstacles and adjusting the vehicle's path accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If the vehicle autonomously travels along a pre-stored teacher path, then the automated parking function is achieved, but the system cannot respond to unexpected objects that appear during autonomous traveling
Solution Approach 1:
The system performs preliminary actions by storing the teacher path in advance through manual driving, and also preliminarily stores object detection models and response protocols. When autonomous traveling occurs, the system has pre-prepared the navigation path and the capability to detect and respond to unexpected objects, allowing automated parking while maintaining adaptability to new situations.
Solution Approach 2:
The system continuously monitors the environment during autonomous traveling by comparing current sensor data with the stored teacher path context. When an unexpected object is detected, the system provides feedback by highlighting the object on the display and prompting the passenger, creating a closed-loop control system that adapts to new situations while maintaining automated operation.
2Reliability
If the system highlights unexpected objects and prompts stop operation, then safety is improved, but the automated traveling process is interrupted
Solution Approach 1:
The system applies different quality levels of intervention based on the specific situation. For unexpected objects detected within the teacher path range, the system provides localized highlighting and stop prompts. For objects outside this range or non-critical situations, the system maintains smooth automated traveling without interruption, thus improving safety where needed while preserving efficiency elsewhere.
Solution Approach 2:
The system applies partial action by only interrupting automated traveling when necessary - specifically when unexpected objects are detected within the teacher path range. In other cases, the system allows automated traveling to continue uninterrupted, achieving safety improvements only where truly needed while maintaining overall productivity.
3Measurement precision
If the system continuously monitors for objects during autonomous traveling, then detection accuracy is improved, but computational load and processing time increase
Solution Approach 1:
The system performs preliminary action by pre-storing the teacher path and associated spatial context information. During autonomous traveling, instead of analyzing all environmental data from scratch, the system only needs to check for objects within the predefined teacher path range, significantly reducing computational load while maintaining detection accuracy for relevant areas.
Solution Approach 2:
The system applies local quality by concentrating detection resources only on the teacher path range where unexpected objects would be most relevant. Rather than uniformly monitoring the entire environment, the system focuses computational energy on the specific area defined by the stored teacher path, improving efficiency while maintaining accuracy for critical detection zones.
Data Source
AI summary
A vehicle control device registers a teacher path based on a first situation of an outside while a vehicle performs teacher traveling from a predetermined position to a parking target position after an operation device receives an operation of a passenger. The vehicle control device causes a movement control device to control at least steering to cause the vehicle to autonomously travel from the predetermined position to the parking target position and causes the display device to display a video of the outside based on the teacher path and a second situation of the outside. Furthermore, the vehicle control device highlights an object in the video on the display device and causes the display device to display first display prompting a stop operation of the vehicle. The object does not exist during teacher traveling, exists during autonomous traveling, and exists within a predetermined range from the teacher path.