Cooperative Vehicle Perception for Higher-Resolution Map Data
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Solution Overview
Problem
Existing map-data collection systems rely on sensors mounted on a single vehicle, limiting the spatial separation and diversity of perspectives, which affects the accuracy and resolution of the data collected for digital maps, especially in complex environments.
Innovation Solution
A system that combines perception-data from sensors mounted on multiple vehicles operating cooperatively, allowing for a wider spatial separation and diverse perspectives, enabling the creation of improved 3D or 2D models with enhanced resolution and accuracy by synchronizing and processing data from multiple sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensors are mounted on a single vehicle, then the system complexity is reduced, but the spatial separation and diversity of perspectives are limited, affecting measurement precision
Solution Approach 1:
The system divides the sensing function across multiple vehicles instead of concentrating all sensors on one vehicle. Each vehicle carries sensors that capture data from its local perspective, and these distributed sensing units collectively provide enhanced spatial separation and diverse viewpoints for constructing accurate digital maps.
Solution Approach 2:
The system combines perception data from multiple vehicles through a communication network and processing system. Data from different vehicles are integrated, synchronized, and fused to create composite digital map representations that leverage the spatial separation and perspective diversity of multiple moving platforms.
2Manufacturing precision
If sensors are mounted on multiple vehicles, then the accuracy and resolution of collected data are improved, but the system complexity increases
Solution Approach 1:
Multiple vehicles serve dual purposes: they perform their primary transportation function while simultaneously acting as mobile sensing platforms. This multi-functionality allows the system to achieve high accuracy and resolution through distributed sensing without requiring dedicated complex sensing infrastructure, as each vehicle's sensors contribute to the collective data quality.
Solution Approach 2:
A communication network and data processing system act as intermediaries between the distributed sensors on multiple vehicles and the final digital map output. This intermediary layer coordinates data collection, handles synchronization, manages communication protocols, and performs data fusion, thereby managing system complexity while enabling high-precision multi-vehicle sensing.
3Measurement precision
If data from multiple vehicles is combined, then the depth resolution and accuracy of the autostereoscopic view are improved, but the data processing complexity increases
Solution Approach 1:
Sensors on each vehicle continuously capture and pre-process perception data in real-time before transmission. Each vehicle performs preliminary data processing, filtering, and formatting locally, reducing the burden on centralized processing systems and enabling more efficient combination of multi-vehicle data for enhanced depth resolution and accuracy.
Solution Approach 2:
The system implements feedback mechanisms where processed data from multiple vehicles is continuously integrated and used to refine the digital map representations. The system adjusts data collection parameters, synchronization timing, and processing algorithms based on the quality and consistency of incoming data, optimizing the combination process to achieve improved depth resolution while managing processing complexity through adaptive control.
Data Source
AI summary
A map-data collection system for mapping an area includes a first sensor, a receiver, and a controller-circuit. The first-sensor is for installation on a first-vehicle. The first-sensor is configured to gather perception-data of an area from a first-perspective. The receiver is for installation on the first-vehicle. The receiver is configured to receive perception-data gathered by a second-sensor mounted on a second-vehicle proximate to the first-vehicle. The second-sensor is configured to gather perception-data of the area from a second-perspective different from the first-perspective. The controller-circuit is in communication with the first-sensor and the receiver. The controller-circuit is configured to determine composite-data in accordance with the perception-data from the first-sensor on the first-vehicle and the perception-data from the second-sensor on the second-vehicle. Optionally, the first-vehicle may communicate with the second-vehicle in a manner effective to control the relative-position of the first-vehicle and the second-vehicle while the perception-date is being collected.