Radar Sub-Map Generation for Autonomous Driving Without Map Server Access
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Solution Overview
Problem
Autonomous vehicles face challenges in performing driving tasks without real-time access to precise maps due to communication disruptions with map servers.
Innovation Solution
A device and method utilizing a radar mounted to a vehicle to generate a sub map based on radar point clouds, allowing autonomous driving by differentiating static and dynamic objects and updating maps in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a precise map is stored in the precise map server and received through communication with the vehicle, then the autonomous vehicle can be controlled based on precise map information, but the vehicle cannot perform autonomous driving when communication with the server is cut off
Solution Approach 1:
The system performs preliminary actions by generating and storing sub-maps in advance using radar point clouds before communication disruption occurs. These pre-generated sub-maps contain essential road information that can be used autonomously when server communication is unavailable, ensuring continuous driving capability.
Solution Approach 2:
The system creates simplified copies (sub-maps) of the precise map data using radar point clouds. These sub-maps contain essential road geometry and feature information needed for autonomous driving, serving as local copies that can be used independently of server communication.
2Loss of information
If a precise map containing vast amount of information is used, then detailed road information is available, but the map occupies large storage volume
Solution Approach 1:
The system extracts only the essential road information and features from the complete precise map data that are necessary for autonomous driving. By selecting and extracting critical elements (road geometry, landmarks, navigation paths), the system reduces storage requirements while maintaining functional completeness.
Solution Approach 2:
The precise map is segmented into smaller sub-maps corresponding to specific road sections or areas. Each sub-map contains only the information relevant to a particular segment, reducing overall storage requirements while allowing the vehicle to access detailed information when needed for its current location.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables autonomous driving even when precise maps are unavailable by generating a sub map using radar signals, ensuring continuous navigation and road information updates.
Implementation Method 1
a point obtainer obtaining a radar point cloud based on a radar signal radiated from a radar mounted to a vehicle and reflected by an object
Data Source
AI summary
The present embodiments may provide a device and method for providing a driving map which may generate a sub map based on a signal from a radar mounted to a vehicle and perform autonomous driving based on the sub map.