HAV Digital Map Updating via Traffic Density Deviation
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Solution Overview
Problem
Higher-level automated vehicles face challenges in detecting road changes caused by construction sites or accidents due to low-resolution conventional sensors, leading to potential safety issues and the need for timely updates in digital maps.
Innovation Solution
A method involving a driver assistance system that uses a highly accurate digital map, determines the vehicle's position, compares actual traffic density to a setpoint traffic density, and updates the map when deviations exceed a threshold, utilizing sensors like cameras, LIDAR, or external sensors to ensure timely detection and transmission of road changes to central servers for broader vehicle updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conventional sensors with low resolution are used to detect road changes, then the device complexity is reduced, but the measurement precision of road changes deteriorates
Solution Approach 1:
The patent combines multiple sensor types (cameras, LIDAR, radar) with different resolution characteristics to create a sensor fusion system. This merging allows the system to achieve high measurement precision for road change detection while distributing the complexity across multiple specialized sensors rather than requiring a single complex sensor
Solution Approach 2:
The patent introduces digital maps as an intermediary reference framework. By comparing sensor data against pre-stored digital map information, the system can detect road changes with high precision using conventional sensors, as the digital map provides a high-resolution reference for comparison
2Ease of manufacture
If conventional sensors with low resolution are used, then the manufacturing cost is reduced, but the reliability of road change detection deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where detected road changes are used to update digital maps, which then serve as improved reference data for future detections. This feedback loop continuously improves detection reliability without requiring increasingly expensive sensors, as the system learns and adapts from accumulated data
Solution Approach 2:
By using digital maps as an intermediary reference, the system achieves reliable road change detection without relying solely on high-resolution sensors. The digital map acts as a knowledge base that compensates for sensor limitations, enabling reliable detection of even subtle road changes
3Reliability
If digital maps are updated frequently to reflect road changes, then the reliability of automated driving is improved, but the loss of time for data processing increases
Solution Approach 1:
The patent implements periodic verification of digital map accuracy by comparing sensor data against map data at regular intervals. This periodic action ensures reliability without requiring continuous real-time updates, as the system checks for changes systematically rather than constantly processing and updating map data
Solution Approach 2:
The patent performs preliminary comparison of sensor data with digital map data to detect potential road changes before they become critical safety issues. By detecting changes early and updating maps proactively, the system maintains reliability while minimizing processing time, as changes are addressed before requiring extensive verification
Data Source
AI summary
A method for operating a higher-level automated vehicle (HAV), in particular a highly automated vehicle, is provided, including: S1 for providing a digital map, which may be a highly accurate digital map, in a driver assistance system of the HAV; S2 for determining an instantaneous vehicle position and localizing the vehicle position in the digital map; S3 for providing an expected setpoint traffic density at the vehicle position; S4 for ascertaining an instantaneous actual traffic density in the surroundings of the HAV; S5 for comparing the actual traffic density to the setpoint traffic density and ascertaining a difference value as the result of the comparison; S6 for checking the vehicle position of the HAV for plausibility at least partially based on the difference value and/or S7 for updating the digital map at least partially based on the difference value. Also described are a corresponding driver assistance system and a computer program.