Vehicle Vicinity Notifications Using Crowdsourced And Predictive Data
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Solution Overview
Problem
Current vehicle notification systems lack the ability to effectively display real-time and predictive information about the vehicle's vicinity to drivers, relying on continuous real-time sensing and detector use, which can be burdensome and inefficient.
Innovation Solution
A vehicle notification system comprising an on-board satellite navigation device, telematics control unit, and electronic display device, which acquires real-time information from a GPS unit, crowdsourced data from cloud services, and predetermined information from a non-transitory computer readable medium to display notification data, including warnings, alerts, and road information, using a processor to control the display device based on this combined data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous real-time sensing and detection are used to provide notification data, then the information accuracy and timeliness are improved, but the system complexity and energy consumption increase
Solution Approach 1:
The patent combines multiple information sources (real-time sensing data, pre-stored map data, and predictive algorithms) into a unified notification system. The processor integrates these diverse data streams to generate comprehensive notifications, reducing the need for separate dedicated systems for each function while maintaining high information accuracy.
Solution Approach 2:
The system pre-stores map data, road condition information, and navigation routes in memory before they are needed. This preliminary preparation allows the processor to quickly generate accurate notifications without requiring continuous real-time sensing for all parameters, thereby reducing system complexity while maintaining reliability.
2Loss of time
If continuous real-time sensing is used to display vehicle vicinity information, then the information timeliness is improved, but the driver burden and distraction increase
Solution Approach 1:
The notification system acts as an intermediary between the complex sensor data and the driver. It processes raw sensing data through multiple layers (processor, memory, display controller) and presents simplified, context-relevant information to the driver. This intermediary processing reduces information overload and driver burden while maintaining timeliness.
Solution Approach 2:
The system provides notifications with different levels of detail and prominence based on their importance and urgency. Critical safety notifications receive prominent display with immediate attention, while less critical information is presented more subtly. This localized quality adjustment reduces overall driver burden by focusing attention only where necessary.
3Loss of information
If multiple data sources are integrated for notification display, then the information comprehensiveness is improved, but the processing complexity increases
Solution Approach 1:
The patent segments the information processing into distinct functional modules: data acquisition from multiple sources, pre-processing in memory, selective filtering by the processor, and hierarchical display presentation. This segmentation allows comprehensive information integration while managing processing complexity through modular architecture.
Solution Approach 2:
Data from multiple sources is pre-processed and stored in memory with associated metadata and priority levels before final notification generation. This preliminary organization reduces the processing burden on the main processor, enabling comprehensive information integration without proportionally increasing processing complexity.
Data Source
AI summary
A vehicle includes an on-board satellite navigation device, a telematics control unit, a non-transitory computer readable medium, an electronic display device, and a processor. The on-board satellite navigation device is in communication with a global positioning system unit to acquire real-time information regarding conditions near the vehicle's vicinity. The telematics control unit is in wireless communications to at least one of a cloud services and a vehicle network to upload and receive crowdsourced information regarding conditions near the vehicle's vicinity. The non-transitory computer readable medium stores predetermined information regarding conditions near the vehicle vicinity. The processor is programmed to control the electronic display device to display notification data regarding the vehicle vicinity based on one or more of the real-time information, the crowdsourced information and the predetermined information.