Server-Assisted Speed Limit Information for Low-Compute Vehicles
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Solution Overview
Problem
Existing vehicle speed limit information systems are resource-intensive, requiring navigational systems and high computational power, making them costly for entry-level vehicles.
Innovation Solution
A computer-implemented method that uses a vehicle's navigation information to determine predicted positions and associate corresponding speed limit information with candidate map regions, transmitting this data to a server for processing, which then provides speed limit information to the vehicle without the need for onboard navigational databases or frequent updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a navigational system and map database are included in the vehicle for speed limit information, then speed limit information accuracy is improved, but vehicle cost and computational resource requirements increase
Solution Approach 1:
A server acts as an intermediary between the vehicle and the comprehensive map database. The vehicle sends its current location to the server, which then queries the database and returns relevant speed limit information. This eliminates the need for the vehicle to store or process large navigational databases locally, reducing computational requirements and system complexity while maintaining accurate speed limit information delivery.
2Reliability
If a navigational system with map database is implemented, then speed limit information reliability is improved, but computational power requirements and processing time increase
Solution Approach 1:
The computationally intensive database query and correlation functions are extracted from the vehicle system and relocated to a remote server. The vehicle only needs to perform simple operations: sending its location data and receiving speed limit information. This extraction maintains reliable ISA implementation while dramatically reducing the computational power and processing time required in the vehicle.
3Reliability
If map database is updated periodically to maintain reliability, then speed limit information currentness is improved, but bandwidth requirements and service time increase
Solution Approach 1:
The server performs automatic, continuous updates of the map database without requiring vehicle involvement. When speed limit information changes, the server autonomously queries the updated database and provides current information to vehicles on demand. This eliminates the need for periodic manual updates in vehicles, reducing update installation time and bandwidth requirements while maintaining information currentness.
Data Source
AI summary
Embodiments of the present disclosure set forth techniques for providing speed limit information to a vehicle. In an aspect, a computer-implemented method includes receiving, from a vehicle, navigation information associated with the vehicle; determining one or more predicted positions associated with the vehicle based on the navigation information; determining one or more candidate map regions associated with the vehicle based on the one or more predicted positions; associating corresponding speed limit information with each of the one or more candidate map regions; and transmitting, to the vehicle, the one or more candidate map regions; wherein the one or more candidate map regions are usable by the vehicle to provide speed limit information to a driver of the vehicle.