Sensor Data Coordinate Transformation for Obstructed Vehicle Passing
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Solution Overview
Problem
Conventional methods for transmitting sensor data between vehicles are limited in accuracy and reliability, particularly when obstacles obstruct the line of sight, making it difficult to determine safe passing maneuvers.
Innovation Solution
A method that transforms sensor data from a leading vehicle into a format usable by a following vehicle, incorporating data fusion from multiple sensors and converting perspectives to provide reliable distance and direction information, even when obstacles are present, allowing for enhanced visualization and automated driving functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensor data is transmitted directly from the first vehicle to the second vehicle without transformation, then the data transmission is simple, but the accuracy and reliability of distance and direction information deteriorates when obstacles obstruct the line of sight
Solution Approach 1:
The patent introduces an intermediary coordinate transformation process that converts sensor data from the first vehicle's coordinate system to the second vehicle's coordinate system. This intermediary transformation enables accurate distance and direction information to be transmitted even when obstacles block the direct line of sight, resolving the contradiction between reliability and complexity by adding a structured data processing layer.
Solution Approach 2:
The patent creates a virtual copy of the sensor data by transforming coordinates to represent the scene as if the second vehicle's sensors had directly detected the object. This copying approach allows the following vehicle to receive accurate spatial information without requiring direct sensor detection, improving reliability while maintaining manageable system complexity.
2Measurement precision
If multiple sensors are fused to improve data accuracy, then the reliability of distance and direction information improves, but the device complexity and processing requirements increase
Solution Approach 1:
The patent merges data from multiple sensors (camera, radar, LIDAR) by transforming all measurements into a common coordinate system of the second vehicle. This merging approach allows comprehensive sensor fusion to improve measurement precision while managing complexity through unified coordinate transformation rather than separate processing channels.
Solution Approach 2:
The coordinate transformation system serves multiple functions simultaneously: it transforms coordinates for different sensor types, handles data from multiple vehicles, and provides a universal framework for both obstacle detection and passing maneuver assessment. This multi-functionality reduces overall system complexity despite using multiple sensors.
3Measurement precision
If sensor data is transformed to account for different vehicle positions, then the accuracy of distance and direction information improves for the following vehicle, but the processing time and computational requirements increase
Solution Approach 1:
The patent performs preliminary coordinate transformation on sensor data from the first vehicle before transmission to the second vehicle. By pre-transforming the data into the following vehicle's coordinate system, the system achieves high measurement precision without requiring complex real-time calculations at the receiving end, thus reducing processing time delays.
Data Source
AI summary
A method for transforming data of a sensor. First data of a first sensor of a first vehicle and a first position are initially provided. The first data include a first distance and a first direction to an object. The first position includes a location of the first sensor at which the first data were ascertained. A second position of a second vehicle is additionally provided. The first data are subsequently converted into transformed data based on the first position and the second position, the transformed data including a second distance and a second direction. The second distance is a distance between the object and the second position. The second direction is a direction between the object and the second position. The transformed data are subsequently output.