Extended Environmental Model for Safer Vehicle Operation
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Solution Overview
Problem
In complex traffic situations, vehicles with smaller detection environments operate less safely than those with larger detection environments, potentially impacting the safe operation of vehicles with richer digital environmental models.
Innovation Solution
The method involves generating an extended digital environmental model by merging detected object data with virtual object data from spatially overlapping detection environments, processed by an edge data center, which updates and corrects object data to provide a richer, more accurate environmental model for vehicles with smaller detection environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicles use their own detected object data only, then each vehicle operates independently with its own detection environment, but vehicles with smaller detection environments operate less safely than those with larger detection environments
Solution Approach 1:
The patent merges object data from multiple vehicles' detection environments to create a unified environmental model. The server combines detected object data from first vehicle and second vehicle, enriching the environmental model with objects detected by either vehicle, thereby extending the effective detection environment for all vehicles involved.
Solution Approach 2:
The server acts as an intermediary that collects, processes, and distributes enriched environmental models to multiple vehicles. Instead of vehicles directly sharing data with each other, the server mediates the information exchange, combining data from multiple sources and distributing the consolidated model back to participating vehicles.
2Reliability
If vehicles share object data via wireless connection, then vehicles with smaller detection environments can access richer environmental models, but real-time trajectory data requires high data rate and low latency allocation
Solution Approach 1:
Vehicles perform self-service by detecting objects in their own environments and providing this data to the server. Each vehicle's environmental sensors and processors independently capture and preliminary process object data, reducing the burden on the network to transmit all raw sensor data.
Solution Approach 2:
The system extracts only relevant object data from each vehicle's detection environment rather than transmitting complete environmental models or raw sensor streams. The server extracts and combines essential object information (positions, velocities, accelerations) to create enriched models, reducing data transmission requirements.
Data Source
Figure 1~2
AI summary
A method for operating a vehicle, wherein a vehicle is operated using a digital environmental model, the digital environmental model comprising object data related to one or more objects detected in a detection environment of the vehicle; and a computer program product for operating a vehicle.