Blind Spot Obstacle Detection Using Depth Overlay
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Solution Overview
Problem
Commercial fleet vehicles experience a high frequency of accidents due to limited driver visibility, particularly in blind spots, which are difficult to monitor, leading to potential hazards from obstacles behind the vehicle.
Innovation Solution
A system comprising cameras, infrared light sources, 3D sensors, and a detection processing unit that analyzes video and depth data to detect obstacles, calculate their distance, and display this information on a digital display within the vehicle, providing visual and audio alerts for the driver.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the driver uses the vehicle's standard mirrors and windows to monitor surroundings, then the driver can see areas directly visible from the driver's location, but the driver cannot see blind spots which are estimated to cause 60%-70% of accidents
Solution Approach 1:
The patent introduces cameras as intermediary devices mounted on the vehicle to capture images of blind spots. These cameras act as mediators between the blind spot areas and the driver, transmitting visual information to the driver through display screens or audio alerts, thereby eliminating the limitation of direct human vision while maintaining ease of operation
Solution Approach 2:
The system adds a new dimension of information presentation by using digital displays and audio outputs to show blind spot conditions. Instead of requiring the driver to physically turn or extend vision in impossible directions, the system presents blind spot information in the driver's direct field of view through screens positioned within easy glance range, or through audio spatial cues
2Reliability
If the driver attempts to monitor areas behind the vehicle, then the driver might detect obstacles, but the driver cannot ensure safety of employees working behind the truck or anticipate sudden obstacles due to extremely limited rear view
Solution Approach 1:
Rear-facing cameras are positioned to capture images of areas behind the vehicle, including zones where employees work. These cameras serve as intermediaries that continuously monitor rear areas and transmit this information to the driver's display system, enabling reliable monitoring of employee safety and sudden obstacle detection without requiring the driver to physically see behind the vehicle
Solution Approach 2:
The system implements continuous feedback by having cameras constantly capture rear area images and immediately displaying them on screens visible to the driver. This real-time feedback loop allows the driver to monitor employee positions and detect sudden obstacles as they occur, maintaining up-to-date awareness of rear conditions
3Measurement precision
If the system uses multiple cameras and sensors to detect obstacles in blind spots, then obstacle detection accuracy is improved, but the device complexity increases
Solution Approach 1:
The system segments the monitoring task by using different cameras for different functions: forward-facing cameras for front blind spots, rear-facing cameras for rear areas, and side cameras for lateral blind spots. Each camera focuses on a specific zone, improving detection accuracy for that zone while keeping the overall system manageable through functional segmentation
Solution Approach 2:
The display system serves multiple functions: it displays images from various cameras, provides audio alerts for detected obstacles, and can show different views based on driver needs. This multi-functionality consolidates multiple capabilities into a single integrated system, improving overall effectiveness without proportionally increasing complexity
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
Enhances driver awareness by providing real-time visual and audio alerts about obstacles in blind spots, reducing the risk of accidents by enabling timely anticipation and action.
Implementation Method 1
an infrared (IR) light source to generate an infrared light
Implementation Method 2
The depth data generated by the second camera may be associated with the at least one obstacle and may be a video image of the infrared (IR) light on at least one obstacle in the area surrounding the vehicle
Data Source
AI summary
A method of detecting and displaying the obstacles and data related to obstacles on a digital display starts with a detection processing unit receiving a digital video input signal from a first camera and depth data from a second camera. Digital input video input signal may include images of an area surrounding the vehicle. Digital video input signal may be analyzed to determine whether an obstacle is present in the area. When an obstacle is detected, the depth data may be analyzed to obtain a distance associated with the obstacle. Digital video output may be generated that includes the digital video input signal and a display of the distance associated with the obstacle. The display of the distance may be overlaid on the display of the obstacle. Digital video output may then be transmitted to the display device to be displayed to the user. Other embodiments are also described.