Unified Cloud Platform for HAD Telematics Data Processing
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Solution Overview
Problem
Current Highly Assisted Driving (HAD) systems lack a unified platform to seamlessly integrate various applications, leading to inefficiencies in sensor data management and processing, which can overwhelm vehicle resources and wireless links, and hinder data sharing between different OEMs and HAD service providers.
Innovation Solution
A cloud-based architecture that transmits telematics sensor data from vehicles to remote servers, allowing for the execution of HAD applications, processing, and sharing of results, while ensuring data privacy and efficient communication, enabling integration of multiple HAD applications and supporting vehicles from different brands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple HAD applications are implemented using different platforms, then each application can be optimized for its specific requirements, but system complexity increases and seamless integration becomes impossible
Solution Approach 1:
The patent merges multiple HAD applications and their processing requirements into a single unified platform. This platform integrates sensor data collection, processing, and application execution in one system, eliminating the need for separate platforms for each HAD application while maintaining the ability to support diverse applications simultaneously.
Solution Approach 2:
The unified HAD platform is designed with universal capabilities to support multiple different HAD applications through a single system. It provides multi-functional processing that can handle various sensor types, processing algorithms, and application requirements within one integrated architecture, making the system adaptable to different HAD services.
2Speed
If sensor data is processed locally in the vehicle, then real-time processing is achieved, but vehicle resources become overwhelmed
Solution Approach 1:
The patent segments the HAD processing system into two parts: a lightweight data collection and pre-processing component in the vehicle, and a more powerful processing component in the cloud. This segmentation allows real-time data collection at the vehicle while moving intensive processing to the cloud, reducing vehicle resource consumption while maintaining processing speed.
Solution Approach 2:
The patent introduces a communication interface as an intermediary between the vehicle and the cloud-based HAD processing system. This intermediary efficiently manages data transmission, transferring only necessary sensor data to the cloud while receiving processed results, thereby optimizing the use of vehicle resources and network bandwidth.
3Stability of the object's composition
If all HAD applications use the same sensor data with high sample rates, then data consistency is improved, but wireless link bandwidth is overwhelmed
Solution Approach 1:
The patent applies partial action by having different HAD applications use different sample rates of sensor data based on their specific requirements. Critical safety applications use high sample rates, while less time-sensitive applications use lower sample rates. This selective approach maintains data consistency where needed while reducing overall data transmission volume.
Solution Approach 2:
The system dynamically changes the sampling rate parameter for different HAD applications based on their specific needs and current conditions. This allows the system to optimize data transmission by using higher sample rates for critical applications and lower rates for non-critical ones, thereby managing bandwidth usage while maintaining necessary data consistency.
Data Source
AI summary
Methods for providing a highly assisted driving (HAD) service include: (a) transmitting telematics sensor data from a vehicle to a remote first server; (b) transmitting at least a portion of the telematics sensor data from the remote first server to a remote second server, wherein the remote second server is configured to execute a HAD application using received telematics sensor data, and wherein the HAD application is configured to output a HAD service result; and (c) transmitting the HAD service result from the remote second server to a client. Apparatuses for providing a HAD service are described.