Autonomous Parking Exit Using Reliable Relative Position Updates
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Solution Overview
Problem
Existing automatic parking systems face challenges in accurately determining the exit position of a vehicle within a building or area with poor GPS reception, leading to difficulties in precise positioning and successful autonomous exit.
Innovation Solution
An automatic system that uses a communication terminal and sensor units on a vehicle to detect the relative position between the terminal and the vehicle through various detection processes, including distance measurement and direction detection, to calculate and update an optimal exit position for autonomous driving, even in areas with limited GPS availability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS-based position detection is used to determine exit position, then the system can operate in open areas with GPS reception, but it fails to achieve accurate positioning in areas with poor GPS reception such as within buildings
Solution Approach 1:
The position detection function is segmented into multiple independent detection processes: GPS-based detection and sensor unit-based detection. Each process operates independently and can be selected based on environmental conditions, allowing the system to maintain position detection accuracy across different environments.
Solution Approach 2:
The system implements a universal position detection mechanism that can function in both GPS-available and GPS-denied environments. By incorporating multiple detection processes (GPS and sensor units) that serve the same function of determining exit position, the system achieves environmental versatility while maintaining measurement precision.
2Reliability
If multiple detection processes are implemented to improve position detection reliability, then the system can operate in various environments, but the device complexity increases
Solution Approach 1:
The system dynamically selects and switches between different detection processes based on environmental conditions and communication states. The control unit activates appropriate detection methods (GPS or sensor units) according to real-time requirements, making the detection system adaptive rather than statically complex.
Solution Approach 2:
The control unit acts as an intermediary that manages multiple detection processes. It receives data from both GPS and sensor units, evaluates their reliability based on communication states, and selects the most appropriate detection result. This intermediary layer simplifies the overall system by providing a unified interface for position detection.
3Productivity
If the exit position is determined based on initial position detection, then the system can quickly establish a target position, but the position accuracy deteriorates when detection reliability is low
Solution Approach 1:
The system implements feedback mechanisms where the control unit continuously monitors the reliability of position detection based on communication states between sensor units and the control unit. When detection reliability improves or conditions change, the system updates the exit position accordingly, ensuring both speed and accuracy in the exit process.
Solution Approach 2:
The system performs preliminary position detection using available methods (GPS or sensor units) to establish an initial exit position target. This preliminary action enables quick establishment of a target, and subsequent updates are made when more reliable detection data becomes available, balancing speed and accuracy.
Data Source
AI summary
A vehicle automatically gets out of a parking area toward a location required by an user. A relative position between a communication terminal carried by the user and the vehicle is determined according to one of detection processes corresponding to a communication state between the communication terminal and one or more of sensor units on the vehicle. An out-of-parking target position is set based on a detection result of the position detection, and an optimum out-of-parking target position is calculated by updating the out-of-parking target position when the position detection has a higher reliability than the currently set out-of-parking target position while getting out of the parking area. An autonomous driving operation of the vehicle is controlled to get out of the parking area toward the out-of-parking target position.