Autonomous Vehicle Parking Location Selection With High-Precision Maps
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Solution Overview
Problem
Autonomous driving vehicles with level-four autonomous systems face challenges in accurately reaching user-specified parking locations due to issues like no available space, illegality, or traffic control, leading to inefficiencies in pick-up and drop-off services.
Innovation Solution
A method involving an intelligent control device that constructs and displays high-precision maps to users, allowing them to select suitable parking locations, with the vehicle calculating distances and adjusting its route to ensure accurate arrival at the chosen location, providing confirmation information and alternative options when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the autonomous driving vehicle uses a level-four autonomous system to communicate with users and obtain desired parking locations, then the vehicle can provide fixed-point parking services, but the vehicle cannot accurately reach the user-specified location when the location is unavailable, illegal, or under traffic control
Solution Approach 1:
The system performs preliminary actions by constructing a high-precision map in advance and identifying multiple alternative parking locations before the user makes a selection. This allows the vehicle to proactively prepare several valid parking options (second parking locations) based on the user's initial request (first parking location), ensuring that suitable alternatives are ready if the primary location cannot be used.
Solution Approach 2:
The high-precision map serves as an intermediary between the user's parking location request and the vehicle's navigation system. It enables the system to analyze the feasibility of the requested location and automatically generate alternative parking locations that meet legal and operational requirements, acting as a mediator that translates user intent into actionable navigation targets.
2Reliability
If the autonomous driving vehicle parks at locations nearby when the user-specified location is unavailable, then the vehicle can still complete parking operations, but the service efficiency and user satisfaction decrease
Solution Approach 1:
The system calculates distances and determines alternative parking locations in advance, before the actual parking operation is needed. By pre-identifying multiple second parking locations and their distances from the current position, the system avoids time-consuming searches during the execution phase, thereby maintaining reliability while improving service efficiency.
Solution Approach 2:
The system provides feedback to the user by displaying the constructed high-precision map with multiple alternative parking locations and their distances. This allows the user to review the options and make an informed selection, ensuring that the final parking location is both operationally feasible and acceptable to the user, thus balancing reliability with efficiency.
3Ease of operation
If the autonomous driving vehicle converts between ordinary electronic map and high-precision map, then the vehicle can display parking locations, but the time for confirming user location increases
Solution Approach 1:
The system uses the high-precision map as a persistent intermediary data structure that maintains parking location information without requiring repeated conversions. Once the high-precision map is constructed, it serves as the authoritative source for displaying and analyzing parking locations, eliminating the need for back-and-forth conversions between map types and thus reducing time loss.
Solution Approach 2:
The high-precision map is constructed in advance as a preliminary action, storing all necessary parking location data in a format suitable for quick reference. This pre-processing eliminates the need for time-consuming map conversions during user interaction, allowing the system to quickly display and confirm parking locations based on the pre-existing high-precision map data.
Data Source
AI summary
A method for selecting parking location for an autonomous driving vehicle is provided. The method comprises steps of: obtaining a request of a user; constructing a first map according to a current location of the user, a first parking location, and a high-precision map; obtaining a second parking location selected by the user on the first map; controlling the autonomous driving vehicle to drive to the second parking location, and calculating distance between a current location of the autonomous driving vehicle and the second parking location; when the distance is less than a preset distance, constructing a second map according to the current location of the autonomous driving vehicle, the second parking location, and the high-precision map; controlling the autonomous driving vehicle to drive to the second parking location selected by the user on the second map. Furthermore, an intelligent control device and an autonomous driving vehicle are also provided.