Vehicle-to-Vehicle Data Sharing for Obstacle Detection
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Solution Overview
Problem
Existing vehicle sensor data systems are limited in providing accurate information for autonomous or semi-autonomous vehicle operation, especially in dense environments where lines of sight are obstructed, leading to incomplete or inaccurate data for navigation and obstacle detection.
Innovation Solution
A vehicle-to-vehicle communication system that allows vehicles to share data via messages, enabling the use of additional data from other vehicles to augment or replace sensor data, constructing a virtual map of the environment and improving navigation and obstacle detection in dense conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If vehicle sensors are used to collect data in dense environments, then the vehicle can obtain some environmental information, but the data accuracy and completeness deteriorate due to obstructed lines of sight
Solution Approach 1:
The patent introduces other vehicles as intermediary data sources. When a vehicle's own sensors are obstructed, it receives sensor data from other vehicles in the environment that have unobstructed views of the same area. This intermediary approach allows the vehicle to obtain environmental information that its own sensors cannot capture directly, thereby reducing information loss and improving measurement precision without requiring additional physical sensors on the vehicle.
2Extent of automation
If vehicle sensors are used for autonomous navigation, then the vehicle can operate autonomously, but the reliability deteriorates in dense environments where sensors are blocked
Solution Approach 1:
The patent merges the sensor data from multiple vehicles into a unified environmental model. By combining data from the vehicle's own sensors with sensor data received from other vehicles, the system creates a more complete and reliable picture of the environment. This merged data approach maintains autonomous operation capability while significantly improving navigation reliability in dense environments where individual vehicle sensors are frequently blocked.
Solution Approach 2:
The system implements feedback by continuously receiving and updating environmental data from other vehicles. The vehicle uses this incoming data to adjust its environmental model and navigation decisions in real-time. This feedback mechanism ensures that the autonomous navigation system remains reliable even when the vehicle's own sensors are obstructed, as the system can detect and compensate for blocked views using data from other sources.
3Ease of operation
If only own vehicle sensor data is used, then the system is simple to operate, but the ability to detect obstacles and predict paths deteriorates in dense environments
Solution Approach 1:
The patent uses other vehicles as intermediary sources to enhance obstacle detection without complicating the vehicle's own sensor system. The vehicle simply receives processed sensor data from other vehicles via communication protocols, maintaining operational simplicity while dramatically improving obstacle detection accuracy in dense environments where the vehicle's own sensors are blocked by other vehicles or environmental features.
Data Source
AI summary
A computer in a first vehicle is programmed to receive a first set of data from at least one sensor in the first vehicle and to receive a second set of data from at least one second vehicle. The second set of data is from at least one sensor in the at least one second vehicle. The computer is further programmed to use both the first set of data and the second set of data to identify at least one feature of a road being traversed by the first vehicle.