Driver Alerts From Surroundings Map Changes in Familiar Routes
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Solution Overview
Problem
Human drivers often overlook changes in traffic infrastructure, such as traffic signs, leading to potential rule violations and dangerous situations due to outdated knowledge of traffic rules.
Innovation Solution
A device and method that utilizes high-precision surroundings maps updated by vehicle fleets and a backend system to detect changes in infrastructure and inform drivers acoustically or visually about relevant changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If drivers rely on their memory of familiar routes and assume infrastructure objects are permanently present, then they can drive efficiently without constant attention to details, but they may violate traffic rules that have changed in the meantime
Solution Approach 1:
The system continuously receives updated surroundings maps from map providers and compares them with previously stored maps to detect changes in traffic infrastructure. This feedback mechanism ensures drivers receive timely notifications about changed traffic signs, road markings, or infrastructure objects, maintaining both driving efficiency and traffic rule compliance through automated information updates.
Solution Approach 2:
The system performs preliminary detection of infrastructure changes by comparing updated surroundings maps before the driver encounters the changed elements. Change detection algorithms identify modifications in advance, allowing the system to prepare and deliver notifications to the driver before they reach the location of changed traffic signs or infrastructure, ensuring proactive awareness rather than reactive response.
2Reliability
If the system continuously monitors and compares surroundings maps to detect all infrastructure changes, then traffic rule compliance is improved, but the complexity of the device increases
Solution Approach 1:
The system extracts only the essential and relevant information from comprehensive surroundings maps - specifically focusing on traffic signs, road markings, and infrastructure objects that directly impact traffic rules. By filtering and extracting only these critical elements for comparison and notification, the system reduces processing complexity while maintaining high reliability in detecting rule-changing infrastructure modifications.
Solution Approach 2:
The system applies different processing qualities to different types of map data - performing detailed change detection analysis specifically on traffic infrastructure elements (signs, markings, objects) while using less intensive processing for other map features. This localized quality approach concentrates computational resources on the most critical safety-relevant changes, reducing overall system complexity while ensuring reliable detection of traffic rule changes.
Data Source
AI summary
A driver of a motor vehicle is informed by the methods, apparatuses, and systems provided. A first surroundings map is received that describes the surroundings of the motor vehicle at a first point in time. A second surroundings map is received that describes the surroundings of the motor vehicle at a second point in time. The second point in time temporally following the first point in time. The position of the motor vehicle is received or determined. A changed in the second surroundings map is detected in comparison to the first surroundings map in the surroundings of the position of the motor vehicle. The driver of the motor vehicle is informed of the change.