Autonomous Driving OBU for Time-Sensitive Vehicle Control
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Solution Overview
Problem
Existing vehicle on-board units (OBU) for connected and automated vehicles (CAV) are limited in their ability to provide comprehensive control and management for CAVs, as they primarily focus on communication with other vehicles or infrastructure without offering a connected automated vehicle highway system solution.
Innovation Solution
A vehicle control OBU configured to exchange data with a vehicle infrastructure coordination transportation system, providing detailed and time-sensitive control instructions for automated vehicle driving, including vehicle following, lane changing, and route guidance, while integrating with a connected automated vehicle highway system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing OBU systems communicate with other vehicles or infrastructure, then basic vehicle-to-vehicle and vehicle-to-infrastructure communication is achieved, but comprehensive vehicle control and management for connected and automated vehicles is not provided
Solution Approach 1:
The OBU is designed as a multi-functional device that performs not only communication functions but also vehicle control, route guidance, lane changing assistance, and integration with the connected automated vehicle highway system. This universal approach allows a single device to handle diverse functions, improving adaptability without proportionally increasing system complexity.
Solution Approach 2:
The patent combines communication modules, control modules, sensing modules, and navigation modules into an integrated OBU system. By merging these previously separate functions into a unified device, the system achieves comprehensive vehicle control capability while managing complexity through integration rather than proliferation of separate components.
2Reliability
If detailed and time-sensitive control instructions are provided to individual vehicles, then automation level and driving safety are improved, but data processing requirements and system complexity increase
Solution Approach 1:
The system pre-processes and prepares control instructions, route guidance data, and traffic information before they are needed for execution. By performing preliminary data processing and preparation, the system can provide timely and accurate control instructions without overwhelming real-time processing requirements, thus improving safety while managing complexity.
Solution Approach 2:
The OBU acts as an intermediary device between the connected automated vehicle highway system and the individual vehicle. It receives, processes, and translates complex system-wide control data into specific, actionable instructions for the vehicle, thereby reducing the processing burden on both the central system and the vehicle while maintaining high reliability.
3Measurement precision
If comprehensive sensing and data collection modules are added to the OBU, then vehicle environment awareness and control precision are improved, but device complexity and cost increase
Solution Approach 1:
The sensing and data collection functions are segmented into distinct modules within the OBU, including sensing modules for environmental perception, data collection modules for traffic information, and processing modules for analysis. This segmentation allows for precise environmental measurement while managing complexity through modular design, where each module can be independently optimized and maintained.
Data Source
AI summary
This technology provides systems and methods for a vehicle computing system (VCS) for autonomous driving. This VCS furnishes End-to-End models that provide sensing, prediction, planning, decision-making, and control functions. The VCS executes vehicle control algorithms, trains general AI models, and makes inferences from those AI models. Specifically, a computing subsystem of the VCS performs computation methods that train a tensor-centered model and/or make inferences from a tensor-centered model. Additionally, the VCS gathers data from a roadside unit network, an onboard unit, a cloud platform, a traffic control center/traffic control unit, and a traffic operations center (TOC), thereby enhancing the safety and efficiency of autonomous driving.