Probe Data Generating System for Autonomous Vehicle Simulation
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Solution Overview
Problem
Current methods for generating simulation scenarios for autonomous vehicles are inefficient, relying on manual generation which varies in quality and is costly, and limited by the areas accessible to probe cars, leading to incomplete data collection, especially in dangerous or inaccessible regions.
Innovation Solution
A system and method that uses a fixed position camera to record images, project them onto a map, and extract vehicle data to generate simulated traffic flows and vehicle motion, allowing for the creation of test scenarios without the need for physical probe cars, utilizing traffic flow, vehicle, and driver models to enhance accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual generation methods are used to create simulation scenarios, then flexibility and customization are improved, but productivity and consistency deteriorate due to high cost and variable quality
Solution Approach 1:
The patent uses probe data from real vehicles to create synthetic simulation scenarios, copying real-world traffic patterns and conditions. This allows automated generation of diverse scenarios without manual creation, maintaining realism while improving productivity and consistency across all generated scenarios
Solution Approach 2:
The system enables simulation scenarios to generate themselves automatically through algorithms that process probe data and synthesize traffic situations. This self-service mechanism eliminates dependency on manual scenario design, achieving both high productivity and consistent quality while maintaining adaptability through data-driven scenario diversity
2Area of stationary object
If probe cars are used to collect traffic data, then data coverage in accessible areas is improved, but reliability deteriorates due to inability to access dangerous or restricted regions
Solution Approach 1:
Instead of using mobile probe cars to collect data, the patent inverts the approach by using stationary cameras to observe and record traffic. This allows data collection from fixed positions that can safely capture dangerous or restricted areas without requiring vehicles to physically access those zones, improving both coverage and reliability
Solution Approach 2:
The patent introduces stationary cameras as intermediary devices between the data collection system and dangerous areas. These cameras act as mediators that can capture traffic data from hazardous locations without exposing probe vehicles to risk, thereby expanding reliable data coverage to previously inaccessible regions
3Reliability
If fixed position cameras are used to record images, then safety and cost are improved, but measurement precision deteriorates due to limited viewing angles
Solution Approach 1:
The patent merges data from multiple fixed position cameras with probe data from mobile vehicles to create a comprehensive dataset. This combination compensates for the limited viewing angles of individual stationary cameras by integrating their perspectives with mobile sensor data, maintaining safety while improving measurement precision through data fusion
Solution Approach 2:
The patent uses probe vehicles as intermediary devices to bridge the gap between fixed cameras and accurate vehicle measurements. While cameras provide safe, continuous observation, probe vehicles supplement this data with precise onboard sensors when needed, creating a hybrid system that maintains both safety and measurement accuracy
Data Source
AI summary
A computer implemented method for generating traffic pathways that includes recording images from a transportation site with a fixed position camera. The method further includes extracting vehicle point data from the images, and calculating projected vehicle characteristics from the extracted point data to provide an extracted vehicle continuous data set. The method may further include generating a simulated traffic flow and simulated vehicle motion from the extracted vehicle continuous data set. A traffic pathway can be calculated using simulated vehicle motion and simulated traffic flow. The traffic pathway can be used for directing a guided vehicle on the transportation site.