Dynamic Traffic Information Aggregation for Extended Map Coverage
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Solution Overview
Problem
Existing autonomous driving systems face limitations in obtaining high-definition maps of appropriate geographical ranges due to the restricted detection range of onboard sensors, which affects driving planning and safety, especially in high-speed scenarios.
Innovation Solution
A dynamic information obtaining method involving a first enabler server that collects and aggregates local dynamic information from multiple enabler clients in a target area to create a comprehensive high-definition map, reflecting the traffic environment, and provides this information to the target client for enhanced driving planning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the autonomous driving vehicle uses onboard detection devices to obtain high-definition map information, then the map information can be obtained in real-time, but the detection range is limited and the geographical range coverage is insufficient
Solution Approach 1:
The patent combines detection information from multiple detection devices (video cameras, radar sensors, laser rangefinders) mounted on different vehicles to create a comprehensive high-definition map that covers a larger geographical area than any single vehicle could detect alone
Solution Approach 2:
The service server acts as an intermediary that collects, processes, and aggregates detection information from multiple vehicles, then provides the synthesized high-definition map information to the target client, enabling extended range coverage without requiring each vehicle to have its own extensive detection capability
2Area of stationary object
If the autonomous driving vehicle increases the detection range to cover larger geographical areas, then the map coverage is improved, but the detection device performance requirements and system complexity increase
Solution Approach 1:
The system divides the large-scale detection task into smaller segments, with each vehicle's detection device responsible for capturing local environmental information within its own limited range, and the service server assembling these segments into a comprehensive high-definition map
Solution Approach 2:
Each vehicle uses its own onboard detection devices to independently collect local traffic condition information, which is then contributed to the collective high-definition map without requiring enhanced detection capabilities on any single vehicle
Data Source
AI summary
Embodiments of this application disclose a dynamic information obtaining method and a related device thereof, and can be applied to the field of artificial intelligence. In the method, a first enabler server obtains information about an enabler client in a target area of a target client. Also in the method, the first enabler server sends a first message to the enabler client, where the first message is used for the enabler client to report first information. The first information includes local dynamic information of the enabler client, and the first information is used for obtaining dynamic information associated with the target client.