V2V Driver Assistance Target Selection for Collision Warnings
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Solution Overview
Problem
Current advanced driver assistance systems (ADAS) face challenges in seamlessly integrating Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication technologies while meeting various regulatory standards, such as SAE J2945-J2735 and ETSI ITS G5, and providing comprehensive safety features like Electronic Emergency Brake Lights (EEBL), Forward Collision Warning (FCW), Blind Spot Warning (BSW), and Intersection Movement Assist (IMA), without increasing system complexity or costs.
Innovation Solution
An automotive driver assistance system is developed that uses a standalone on-board unit capable of V2V and V2I communication, processing data from sensors and infrastructure messages to provide safety information, enabling applications like EEBL, FCW, BSW, and IMA, while being scalable and adaptable to different vehicle architectures, using a Target Selection Module to classify and filter relevant data for enhanced driver assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensor types (radars, cameras, sensors) are integrated for comprehensive driver assistance, then measurement precision and safety coverage are improved, but device complexity and manufacturing costs increase
Solution Approach 1:
The patent combines multiple sensor types (radars, cameras, and other sensors) into a single integrated driver assistance system. This merging approach allows the system to achieve comprehensive detection capabilities and high measurement precision while managing complexity through unified system architecture and centralized processing.
Solution Approach 2:
The integrated system is designed to perform multiple functions simultaneously - detecting objects, classifying targets, monitoring blind spots, and providing collision warnings. This multi-functionality allows a single system to replace multiple separate sensor systems, improving detection accuracy without proportionally increasing complexity.
2Adaptability or versatility
If V2V and V2I communication technologies are integrated into the driver assistance system, then adaptability and information completeness are improved, but device complexity and integration difficulty increase
Solution Approach 1:
The system incorporates both V2V (vehicle-to-vehicle) and V2I (vehicle-to-infrastructure) communication capabilities within a single communication module. This universal communication interface allows the system to adapt to different communication scenarios and information sources without requiring separate dedicated systems for each communication type.
Solution Approach 2:
The patent introduces a communication module that acts as an intermediary between the vehicle and external entities (other vehicles and infrastructure). This mediator handles the complexity of V2V and V2I communication protocols, message formats, and data processing, shielding the core driver assistance functions from communication complexity while enabling versatile information exchange.
3Reliability
If comprehensive safety features (EEBL, FCW, BSW, IMA) are implemented, then driving safety is improved, but system complexity and development costs increase
Solution Approach 1:
The patent integrates multiple safety features (Electronic Emergency Brake Lights, Forward Collision Warning, Blind Spot Warning, and Intersection Movement Assist) into a single unified system. These features share common sensor inputs, processing architecture, and control mechanisms, allowing comprehensive safety coverage while reducing overall system complexity compared to implementing each feature as a separate system.
Solution Approach 2:
The system segments safety functions into distinct modules (EEBL, FCW, BSW, IMA) that can be independently configured and activated. This segmentation allows the system to provide comprehensive safety coverage while enabling selective implementation based on specific application needs, thereby managing complexity through modularity.
4Speed
If real-time data processing and threat assessment are performed, then response speed and collision avoidance are improved, but computational load and energy consumption increase
Solution Approach 1:
The system performs preliminary data processing and threat assessment by continuously monitoring sensor inputs and communication data in real-time. By maintaining ready-state processing capabilities and pre-configuring response protocols, the system achieves fast response speeds without requiring full computational power to be continuously engaged, thereby reducing energy consumption while maintaining rapid response capability.
Data Source
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AI summary
An advanced driver assistance system configured to implement one or more automotive V2V applications designed to assist a driver in driving a Host Motor- Vehicle. The advanced driver assistance system is configured to be connectable to an automotive on- board communication network to communicate with automotive on-board systems to implement one or different automotive functionalities aimed at assisting the driver in driving the Host Motor- Vehicle, controlling the Host Motor- Vehicle, and informing the driver of the Host Motor- Vehicle of the presence of Relevant Motor- Vehicles deemed to be relevant to the driving safety of the Host Motor-Vehicle. The advanced driver assistance system comprises an automotive V2V communication system operable to communicate with automotive V2V communication systems of Remote Mo tor- Vehicles via V2V messages containing motor-vehicle position-related, motion-related, and state- related data. The advanced driver assistance system is further configured to receive V2V messages transmitted by V2V communications systems of Remote Motor- Vehicles; identify from among the Remote Motor- Vehicles in communication with the Host Motor- Vehicle, Nearby Motor- Vehicles that may represent potential threats to the driving safety of the Host Motor- Vehicle, based on motor-vehicle position-related, motion-related, and state-related data in received V2V messages and on motor-vehicle position-related, motion-related, and state -related data of the Host Motor-Vehicle; and process the data contained in the V2V messages received from the Nearby Motor- Vehicles to identify from among the Nearby Motor- Vehicles Relevant Motor- Vehicles that may be relevant to the automotive functionalities aimed at assisting the driver in driving the Host Motor- Vehicle, controlling the Host Mo tor- Vehicle, at informing the driver of the Host Motor- Vehicle of the presence of Relevant Motor-Vehicles deemed to be relevant to the driving safety, and dispatch on the automotive on-board communication network a list of virtual objects containing information on the Host Motor- Vehicle and on the Relevant Motor- Vehicles, for exploitation by one or more of the functionalities aimed at assisting the driver in driving the Host Motor- Vehicle, controlling the Host Motor- Vehicle, and informing the driver of the Host Motor- Vehicle of the presence of the Relevant Motor- Vehicles deemed to be relevant to the driving safety of the Host Motor- Vehicle, or exploit the information on the Host Motor-Vehicle and on the Relevant Motor- Vehicles in the implementation of one or more of the automotive functionalities aimed at assisting the driver in driving the Host Motor- Vehicle, controlling the Host Motor- Vehicle, and informing the driver of the Host Motor- Vehicle of the presence of the Relevant Motor- Vehicles and of relevant events deemed to be relevant to the driving safety of the Host Motor-Vehicle.