Collaborative Blind Spot Detection for Cloud-Assisted Driving Alerts
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Solution Overview
Problem
Conventional Advanced Driving Assistance Systems (ADAS) have a limited sensing range and lack effective collaboration between vehicles, leading to increased safety risks due to missed detection and warning of blind spots.
Innovation Solution
A driving assistance processing method and apparatus that utilizes a cloud platform to obtain location and traveling information of vehicles, road conditions, and blind spot detection capabilities, determining potential blind spots and generating supplementary reminder messages to enhance safety by reducing missed detection and warnings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If conventional ADAS uses only onboard sensors for blind spot detection, then the system structure remains simple, but the sensing range is limited and blind spots cannot be fully detected
Solution Approach 1:
The patent merges the blind spot detection capabilities of multiple vehicles by having them share detection data through a communication network. Each vehicle's sensor data is combined to create a comprehensive blind spot map that exceeds the sensing range of any single vehicle, effectively resolving the contradiction between limited onboard sensing range and the need for extended detection coverage.
Solution Approach 2:
The patent introduces a communication network and server as intermediaries between vehicles. These intermediaries collect, process, and distribute blind spot detection data from multiple vehicles, enabling each vehicle to access detection information from surrounding vehicles without requiring direct vehicle-to-vehicle sensor integration, thus managing system complexity while expanding sensing range.
2Reliability
If conventional ADAS operates independently without vehicle collaboration, then the system remains simple to implement, but safety is compromised due to missed detection and warning of blind spots
Solution Approach 1:
The patent combines blind spot detection data from multiple independent vehicles through a communication network, creating a collaborative detection system. This merging of detection resources from multiple vehicles significantly improves safety by eliminating blind spots that would be undetectable by any single vehicle, while the modular data-sharing architecture keeps the collaboration mechanism manageable.
3Measurement precision
If multiple vehicles collaborate for blind spot detection, then the sensing range and safety are improved, but the system complexity and communication requirements increase
Solution Approach 1:
The patent uses a communication network and server as intermediaries to manage the complexity of multi-vehicle data exchange. These intermediaries handle data collection, processing, and distribution, allowing vehicles to obtain precise blind spot detection information without directly managing complex peer-to-peer communication protocols, thus improving detection accuracy while controlling communication system complexity.
Data Source
AI summary
An electronic device obtains location information and traveling status information of a vehicle terminal and road condition information of a road section on which the vehicle terminal travels. The electronic device obtains blind spot detection capability information of the vehicle terminal. The electronic device determines a potential blind spot of the vehicle terminal in a traveling process according to the location information and the traveling status information of the vehicle terminal and the road condition information to obtain a blind spot detection result. The electronic device generates a blind spot supplementary reminder message according to the blind spot detection result and the blind spot detection capability information of the vehicle terminal, and sends the blind spot supplementary reminder message to the vehicle terminal.