Vehicle Sensor Plausibility Checks for Cooperative Perception Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing environmental sensor systems face challenges in reliably checking the plausibility of data beyond their safe sensor range, leading to ambiguous or unusable features that can compromise the safety of networked vehicles.
Innovation Solution
A method that combines redundancy-based and model-based checks using internal sensor data and additional information from sources like digital maps and known road layouts to verify the plausibility of external sensor data, even when outside the safe sensor range.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If environmental sensor data beyond safe sensor range is used, then the coverage area is extended, but the measurement reliability deteriorates
Solution Approach 1:
The patent introduces an intermediary plausibility check mechanism that mediates between external sensor data beyond safe range and the vehicle's decision-making system. The internal sensor system acts as a verifier, checking whether external object detections are plausible by comparing them with locally sensed data, thus enabling safe use of extended-range external sensor information.
Solution Approach 2:
The system implements a feedback loop where external sensor data is continuously validated against internal sensor measurements. The plausibility check unit provides feedback on whether external object detections are consistent with local sensor observations, allowing the system to dynamically adjust trust in external data based on ongoing verification.
2Device complexity
If external sensor data is accepted without verification, then the system complexity is reduced, but the safety of automated driving deteriorates
Solution Approach 1:
The patent applies partial verification by checking only critical aspects of external sensor data for plausibility. Rather than fully validating all external sensor measurements, the system performs selective plausibility checks on key parameters such as object position and basic features, balancing verification effort with safety requirements.
3Area of stationary object
If internal sensor range is extended, then the safe detection area is increased, but the sensor cost and complexity increase
Solution Approach 1:
The patent merges internal and external sensor systems into a cooperative perception network. By combining the vehicle's internal sensors with external infrastructure sensors, the system achieves extended effective detection range without requiring the vehicle to carry additional high-cost sensors, thus reducing onboard system complexity while expanding coverage.
Data Source
AI summary
A method for checking the plausibility of data of an external environmental sensor system by at least one networked road user. Data of an external data source are received using a communication system of the networked road user. The data include first environmental information, acquired by an external environmental sensor system assigned to the external data source, which represents a first spatial area. The networked road user includes an internal environmental sensor system, having a safe sensor range. Second environmental information is generated using the internal environmental sensor system of the networked road user, wherein the second environmental information originates from a sub-area of the first spatial area. The data of the external environmental sensor system are checked for plausibility depending on the first environmental information and the second environmental information.