Vehicle Detecting System Using Front Rear Cameras for Unsafe Maneuver Warning
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Solution Overview
Problem
Heavy traffic conditions often lead to unsafe driving maneuvers such as overtaking or lane changes, resulting in accidents, highlighting the need for a vehicle detecting system to monitor and alert drivers of potentially hazardous actions.
Innovation Solution
A vehicle detecting system equipped with cameras, a processor, and a speaker, which captures images from the front and rear of a vehicle, detects speed and direction changes, determines safe or dangerous driving conditions, and alerts the driver with a warning sound when frequent unsafe maneuvers are detected.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If drivers manually monitor traffic conditions to decide when to overtake or change lanes, then drivers maintain control over vehicle operations, but drivers may miss hazardous conditions leading to accidents
Solution Approach 1:
The patent replaces manual mechanical monitoring by drivers with an automated electronic detection system using cameras and image processing algorithms. The system automatically captures images, detects vehicles, calculates distances, and determines safety of maneuvers, substituting human sensory and cognitive functions with mechanical-electronic systems to improve reliability while maintaining operational simplicity.
Solution Approach 2:
The system enables the vehicle to self-monitor its own driving environment by using onboard cameras to capture images of surrounding traffic conditions. The processing unit automatically analyzes these images to detect vehicles, calculate distances, and assess safety without requiring external monitoring devices or manual intervention, allowing the vehicle to serve its own safety monitoring needs.
2Measurement precision
If drivers rely on manual observation of surrounding vehicles, then no additional detection equipment is needed, but drivers cannot accurately determine safe distances leading to unsafe maneuvers
Solution Approach 1:
The patent replaces imprecise manual visual estimation with automated electronic image processing. The system uses cameras to capture images and algorithms to automatically calculate distances between the host vehicle and surrounding vehicles based on image analysis, providing precise measurements without requiring drivers to manually estimate distances, thereby significantly improving measurement accuracy.
Solution Approach 2:
The patent introduces an intermediary processing unit that acts as a mediator between the cameras and the driver. This processing unit captures raw image data, processes it to extract vehicle positions and calculate distances, and presents processed safety information to the driver. This intermediary layer transforms complex raw data into useful safety metrics, improving measurement precision while managing system complexity.
3Reliability
If the system continuously monitors all driving conditions, then safety coverage is maximized, but energy consumption and processing load increase
Solution Approach 1:
The patent implements periodic monitoring where the capture unit takes images at regular time intervals rather than continuously. The processing unit processes these periodic images to detect vehicles and calculate distances. This periodic approach maintains adequate safety monitoring coverage while significantly reducing energy consumption and processing load compared to continuous monitoring, as the system only activates at scheduled intervals.
Solution Approach 2:
The patent applies partial monitoring by focusing processing resources on detecting only relevant objects (vehicles in adjacent lanes or potential collision paths) rather than analyzing all elements in the field of view. The system performs selective vehicle detection and distance calculation for areas of interest, providing sufficient safety coverage for critical maneuvers while reducing overall processing requirements and energy consumption.
Data Source
AI summary
A vehicle detecting system, a vehicle detecting method adapted for a vehicle, and a computer-readable storage medium encoded with a computer program are disclosed. The system controls two cameras to capture images in the front of the vehicle and at the back of the vehicle respectively, according to a speed and a direction of the vehicle. The system further determines whether or not two images from each camera are the same, if the two images from each camera are different, the vehicle is in a dangerous driving condition, and when times of the dangerous driving condition within a preset time period reaches a preset value, the system outputs a warning to prompt a driver.