Automated Valet Parking Positioning With Indoor Feature Mapping
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Solution Overview
Problem
Existing parking systems face challenges such as the risk of accidents, time consumption in finding parking spaces, and the inconvenience of having to manually locate parked vehicles, with existing automated valet parking technologies lacking accurate position measurement in indoor environments.
Innovation Solution
A system and method for automated valet parking that includes a vehicle equipped with sensors and a communication system to interact with infrastructure, allowing autonomous parking and retrieval, using particle filter-based positioning to enhance accuracy and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automated driving is performed along a guide route in indoor parking facilities, then the driver can exit the vehicle conveniently, but accurate position measurement becomes difficult due to the indoor environment
Solution Approach 1:
The patent introduces environmental information (parking lot slot information, road signs, walls, columns, floor markings) as intermediary reference objects to enable position measurement in indoor environments where GPS is unavailable. These environmental features serve as mediators between the vehicle's navigation system and the physical space, allowing the vehicle to determine its position by detecting and matching these features with a precision map.
Solution Approach 2:
The patent replaces traditional GPS-based mechanical positioning systems with a sensor-based environmental recognition system. Instead of relying on satellite signals that don't penetrate indoor structures, the system uses lidars, radars, and cameras to detect environmental features and calculate position through coordinate transformation and feature matching algorithms.
2Device complexity
If a driver manually finds and locates parking spaces in large parking facilities, then no additional automation systems are needed, but the driver spends a lot of time and energy searching for parking
Solution Approach 1:
The infrastructure performs preliminary actions by pre-establishing a precision map of the parking facility containing all environmental features, parking slot positions, and navigation paths. When a vehicle arrives, the system has already prepared the positional reference framework, enabling immediate automated navigation without requiring the driver to manually search for parking spaces.
Solution Approach 2:
The system enables self-service automated valet parking where the vehicle autonomously navigates to and from parking spaces without driver intervention. The vehicle receives the guide route from the infrastructure and independently executes the parking maneuver, eliminating the time and effort the driver would otherwise spend searching for and reaching the vehicle.
3Productivity
If automated valet parking is implemented, then parking efficiency improves, but the system complexity increases due to the need for infrastructure and sensor integration
Solution Approach 1:
The patent divides the automated valet parking system into two independent segments: the infrastructure component (precision map storage, guide route calculation, target position determination) and the vehicle component (sensor data acquisition, environmental feature detection, position calculation). This segmentation allows each part to be optimized independently and reduces the complexity burden on individual components while maintaining high overall productivity.
Data Source
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AI summary
A system and a method for supporting automated valet parking, and an infrastructure and a vehicle therefor are provided. The method for operating a vehicle which supports automated valet parking includes initializing automated valet parking and receiving, from an infrastructure, a target position which is related to the vehicle and a guide route which guides movement to the target position. Additionally, the method includes performing automated driving by the vehicle along the guide route, and measuring a position of the vehicle based on behavior information of the vehicle and environmental information, while the vehicle performs the automated driving. The environmental information includes at least one among parking lot slot information, road signs, walls, pillars, and floor markings.