Vehicle-Mounted Device for Multi-Directional Hazard Detection

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Solution Overview

Problem

Traffic accidents often occur when drivers are focused on one direction and fail to notice vehicles or pedestrians coming from another direction, highlighting a need for enhanced safety measures to monitor both external objects and driver behavior.

Innovation Solution

A vehicle-mounted device equipped with external sensors (like lidar or cameras) and internal sensors (cameras) that detect moving objects and monitor driver behavior, using image recognition and deep learning algorithms to identify potential hazards and alert the driver with warnings when necessary.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If the driver concentrates on one direction (e.g., rearview mirror), then the driver can monitor that specific area in detail, but the driver ignores people or vehicles coming from another direction

Engineering Contradiction:

Improvemonitoring precision of specific areaVSAvoidinformation about objects from other directions

Core Design Contradiction:

Measurement precisionVSLoss of information

Solution Approach 1:

The system segments the monitoring task between human driver (focused attention on primary direction) and machine vision system (comprehensive multi-directional monitoring). The vehicle-mounted device divides the visual field into multiple zones and independently analyzes each zone, enabling simultaneous detailed monitoring of multiple directions without requiring driver attention switching.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The vehicle-mounted warning device acts as an intermediary between the external environment and the driver. It captures visual information from all directions using external sensors, processes this data through image recognition algorithms, and presents processed information to the driver through warnings or alerts, thereby compensating for the driver's limited field of view and attention capacity.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If the driver focuses attention on a single direction, then the driver can maintain high concentration on that area, but traffic accidents occur when vehicles or pedestrians come from another direction

Engineering Contradiction:

Improvedriving safety in focused directionVSAvoidaccident risk from undetected directions

Core Design Contradiction:

ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The system performs preliminary detection and analysis of the visual environment before the driver needs to react. External sensors continuously scan all directions and the image recognition algorithm pre-identifies potential hazards (vehicles, pedestrians, obstacles) in advance, allowing the system to issue warnings before the driver would naturally notice these objects, thereby preventing accidents from undetected directions.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system establishes a feedback loop where external sensors continuously monitor the environment, the processor analyzes detected objects and their trajectories, and the system provides real-time feedback to the driver through warnings. This closed-loop feedback mechanism compensates for the driver's limited attention span and ensures continuous safety monitoring across all directions.

Inventive Principle:

Principle #23Feedback

3Reliability

If multiple sensors and monitoring systems are added to monitor both external objects and driver behavior, then comprehensive safety monitoring is achieved, but the device complexity increases

Engineering Contradiction:

Improvecomprehensive safety monitoringVSAvoidnumber of sensors and systems

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The vehicle-mounted device is designed with multi-functionality to reduce overall system complexity. The external sensors serve multiple purposes: detecting vehicles, pedestrians, obstacles, and analyzing traffic conditions. The image recognition algorithm performs multiple analysis tasks including object identification, trajectory prediction, and hazard assessment. This multi-functional design consolidates what could be multiple separate systems into a single integrated platform.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system merges external environment monitoring and internal driver behavior monitoring into a single integrated vehicle-mounted device. Both external sensors (cameras, lidars) and internal sensors (driver monitoring cameras) are combined in one system, with a unified processor that handles both external object detection and driver state analysis, thereby reducing the complexity that would arise from having separate independent systems.

Inventive Principle:

Principle #5Merging (Combining)

Data Source

PatentUS11453413B2Driving warning method and vehicle-mounted device

Publication Date: 2022.09.27 MOBILE DRIVE NETHERLANDS BV

AI summary

A driving warning method applied to a vehicle-mounted device is provided. The method includes detecting a moving object and a moving direction of the moving object by using at least one external sensor when a vehicle is moving. A driving behavior of a driver of the vehicle is monitored by using at least one internal sensor when the moving object and the moving direction of the moving object are detected. Once the moving direction of the moving object is not parallel to a moving direction of the vehicle and a sight direction of the driver does not cross the moving direction of the moving object, a first warning is transmitted.