Vehicle-Cloud Object Filtering for Contextual Proximity Alerts
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Solution Overview
Problem
Existing systems lack efficient methods for enabling communication between connected vehicles and other connected objects, such as traffic lights, sensors, and pedestrians, using cloud-based processing systems.
Innovation Solution
The system processes geo-location data from vehicles and determines their heading direction to select relevant connected objects within their area of influence. It then processes state data from these objects to generate control data, which is sent to the vehicle to trigger notifications or alerts, such as tactile feedback, audio alerts, or visual alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the vehicle processes information from all connected objects in the vicinity, then the completeness of surrounding information is improved, but the processing time and computational load increase
Solution Approach 1:
The system applies local quality by filtering connected objects based on their relevance to the vehicle's current context (heading direction, area of influence). Instead of uniformly processing all objects, it selectively processes only those within the relevant spatial and contextual parameters, thereby reducing processing time while maintaining information completeness for critical objects.
Solution Approach 2:
The system segments the set of connected objects into relevant and irrelevant groups based on spatial relationships (area of influence) and directional alignment (heading direction). This segmentation allows the vehicle to focus computational resources on processing information from objects in the segmented relevant subset, reducing overall processing time while preserving essential information.
2Reliability
If the vehicle receives alerts from all connected objects, then the comprehensiveness of safety information is improved, but the driver's ability to focus on critical information deteriorates
Solution Approach 1:
The system applies local quality by providing differentiated alerting based on the relevance of each connected object to the vehicle's current state. Critical objects within the area of influence and aligned with the heading direction generate alerts, while less relevant objects do not, thereby maintaining comprehensive safety information for critical threats while avoiding information overload that would distract the driver.
3Measurement precision
If the system processes state data from all connected objects, then the accuracy of control data is improved, but the energy consumption increases
Solution Approach 1:
The system applies local quality by processing state data only from connected objects that fall within the vehicle's area of influence and are aligned with its heading direction. This selective processing maintains the accuracy of control data for relevant objects while significantly reducing the energy consumption associated with processing data from all connected objects in the vicinity.
Solution Approach 2:
The system segments connected objects into processing-worthy and non-processing-worthy categories based on spatial and directional criteria. By processing state data only from the segmented relevant subset, the system achieves accurate control data for critical situations while minimizing energy consumption through reduced computational workload.
Data Source
AI summary
Methods and systems are provided. One system is of a vehicle for processing communication with connected objects. The processing by the system uses a processor of the vehicle and processing and data from one or more servers of a cloud system. The connected objects include objects having communication capabilities that are either fixed at specific locations as infrastructure proximate to where the vehicle is located or locations proximate to where the vehicle is moving. The system includes a global positioning system of the vehicle for generating geo-location for the vehicle and a heading direction. The geo-location is configured to be shared with a server of the cloud system using a communications device of the vehicle. The server of the cloud system is configured to receive the geo-location of the vehicle to identify the heading direction of the vehicle. The communications device of the vehicle is configured receive state data from at least one of said connected objects that are proximate in location relative to the vehicle or are along the heading direction of the vehicle. The processor is one of a plurality of processors of on-board electronics, and the processor is configured to execute instructions that processes data associated with of said heading direction of the vehicle and updates in state data received from connected objects. The processing is configured to cause initiation of an action by a subsystem of the vehicle. In one example, the action by the subsystem of the vehicle is to produce a safety warning notification presented on a display of the vehicle or an automatic action by the vehicle for safety.