Construction Site Route Change Prediction for Automated Vehicles
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Solution Overview
Problem
Highly automated vehicles face challenges in detecting changes in their driving route due to low sensor resolution and noise interference, leading to potential incorrect behavior when map and sensor measurements disagree, especially with construction-related changes.
Innovation Solution
A method and device that predict construction-related driving route changes by reading in and detecting construction-site parameters using image signals from cameras, associating them spatially and temporally, and adapting map-change detectors to improve detection accuracy and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If sensor measurements are used to detect driving route changes, then real-time detection capability is provided, but detection precision deteriorates due to low sensor resolution and noise interference
Solution Approach 1:
The system performs preliminary detection of construction-site parameters (construction vehicles, workers, containers, signs) before the actual driving route change occurs. By identifying these parameters in advance through image signals and associating them spatially and temporally with the driving route, the system prepares prediction data that enhances subsequent detection accuracy without compromising real-time response capability
Solution Approach 2:
The system introduces an intermediary prediction mechanism that bridges sensor measurements and map data. The map-change detector uses predicted construction-related route changes as intermediate information to reconcile discrepancies between sensor measurements and map data, thereby improving overall detection precision while maintaining real-time operation
2Measurement precision
If map-change detectors are made sensitive to construction regions, then detection accuracy improves, but false detections increase due to noise and interference
Solution Approach 1:
The system applies local quality by making the map-change detector selectively sensitive only to specific construction-related parameters (construction vehicles, workers, containers, signs) in specific regions along the driving route. This targeted sensitivity approach allows the system to improve detection accuracy for actual construction sites while maintaining selectivity against unrelated noise and interference that would cause false detections
3Reliability
If construction sites are detected in advance, then safety improves, but detection complexity increases due to additional processing requirements
Solution Approach 1:
The system performs preliminary detection and association of construction-site parameters with the driving route in advance, creating prediction data that can be processed more efficiently later. By preparing this information beforehand through automated image signal processing and spatial-temporal association, the system enhances safety through early warning while managing complexity through structured preprocessing
Solution Approach 2:
The system uses the vehicle's existing sensors and onboard processing capabilities to perform construction site detection and prediction, rather than requiring entirely separate external systems. This self-service approach leverages available resources to improve safety while minimizing additional system complexity
Data Source
AI summary
A method for predicting a construction-related driving-route change of a driving route for a vehicle includes at least a step of reading in and a step of detecting. In the step of reading in, at least one image signal is read in, which represents an image, recorded by the vehicle, of a construction-site parameter in the environment of the driving route. In the step of detecting, the impending driving-route change is detected using the image signal.