Smart Collision Avoidance via Mobile Device Peer-to-Peer Networks
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Solution Overview
Problem
Current self-driving vehicles face limitations in detecting blind spots and remote events, and their radar systems are expensive and not precise enough, especially in adverse weather conditions, and most vehicles lack self-driving, sensing, and Internet of Vehicles functions, necessitating a novel smart collision avoidance system.
Innovation Solution
A travel smart collision avoidance warning system utilizing a global positioning system and geographic data to establish peer-to-peer networks among mobile devices, providing location-based warnings through audio or video signals, and integrating with existing vehicles' systems for enhanced safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If self-driving vehicles use sensing devices (LiDAR, cameras, millimeter wave radar) to detect surrounding environments, then detection capability is improved, but the system becomes expensive and complex
Solution Approach 1:
The patent introduces mobile devices (phones, tablets) as intermediary carriers that run collision avoidance applications. These mobile devices act as mediators between vehicles and the collision avoidance system, eliminating the need for complex dedicated sensing hardware in vehicles while still enabling detection and warning functions through smartphone sensors and processing units.
Solution Approach 2:
The patent makes mobile devices universal platforms that can perform multiple functions: they serve as navigation tools, communication devices, and collision avoidance systems. The mobile devices leverage their existing sensors (camera, GPS, accelerometer) to provide detection and warning services, replacing vehicle-specific dedicated systems with a multi-functional approach.
2Reliability
If radar is used for detection, then detection stability is improved, but cost increases and detection precision deteriorates
Solution Approach 1:
The patent uses mobile devices as copies or alternatives to traditional radar systems. Instead of relying on expensive radar hardware, the system uses smartphones with cameras and processing units to capture and analyze environmental information, achieving similar detection stability at lower cost with potentially better precision through image processing.
Solution Approach 2:
The patent replaces the mechanical radar detection system with an electronic/software-based system using mobile device sensors and processing units. The mechanical radar is substituted with digital image capture and processing, enabling more precise detection while reducing hardware costs and complexity.
3Reliability
If vehicles are equipped with self-driving and sensing functions, then collision avoidance capability is improved, but most vehicles (1.3 billion) cannot afford or install these functions
Solution Approach 1:
The patent enables self-service collision avoidance where ordinary mobile devices automatically perform detection, calculation, and warning functions without requiring vehicle modifications or specialized hardware. The mobile devices independently execute collision avoidance algorithms using their own sensors and processing capabilities, making the system universally accessible.
Solution Approach 2:
Mobile devices serve as intermediaries that bridge the gap between vehicles and collision avoidance technology. Instead of requiring vehicles to be equipped with specialized systems, the mobile devices act as universal mediators that can be installed in any vehicle or used by pedestrians, enabling collision avoidance capability across all 1.3 billion vehicles without requiring vehicle-specific modifications.
4Loss of information
If Internet of Vehicles technology is used to connect vehicles, roads, and cloud platforms, then information sharing capability is improved, but system complexity and infrastructure requirements increase
Solution Approach 1:
The patent extracts the collision avoidance function from the complex Internet of Vehicles ecosystem and implements it directly on mobile devices. Instead of relying on cloud platforms and complex vehicle-to-vehicle communication infrastructure, the system uses mobile devices to perform local detection, calculation, and warning functions, reducing infrastructure requirements while maintaining information sharing capabilities.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively prevents collisions by providing real-time connectivity and warnings to users, enhancing safety and reducing traffic accidents without requiring new apparatus on existing vehicles, and is applicable to both vehicles and pedestrians.
Implementation Method 1
one major objective of the present invention is to employ a global positioning system in conjunction with a geographic data system so as to receive the geographic coordinates of the mobile devices after the satellite broadcast signals are received
Data Source
AI summary
A travel smart collision avoidance warning system is provided, comprising a plurality of mobile devices and a positioning device. Each mobile device is provided with an application program downloaded by a corresponding user. The positioning device is coupled to the application so as to store location information of the mobile devices. Each mobile device comprises a processing unit for the corresponding user to pre-set a detection range of the mobile device and an indicating unit. The processing unit is coupled to the positioning device and calculates whether the other mobile devices will be encountered in a pre-set time according to location information, detection range, and traveling speed of the mobile device. If any of the other mobile devices enter a warning range within the pre-set time, the indicating unit is triggered to provide a warning signal so as to make travel much more brilliant and safe.