Blind Region Visualization Using Sensor Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems for displaying images in motor vehicles cannot accurately represent blind regions around the vehicle, which are not captured by cameras, leading to a lack of information for drivers about potential obstacles or objects in these areas, increasing the risk of collision.
Innovation Solution
A method that utilizes sensor data to detect objects in blind regions and modifies the representation of these areas in the overall image displayed to the driver, such as varying coloring, to alert them to the presence of objects and potential collision risks, without requiring additional sensors beyond those already present in the vehicle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If blind regions are represented in black, then the display is simple and clear, but information about objects in blind regions is completely lost
Solution Approach 1:
The patent applies color changes to represent different states of blind regions. When an object is detected in a blind region, the corresponding blind region is displayed in a first color (e.g., yellow) to indicate potential hazard. When no object is detected, the blind region is displayed in a second color (e.g., green) to indicate safety. This color-coding system provides intuitive information about objects in blind regions without requiring complex additional displays.
Solution Approach 2:
The patent changes the visual parameters of blind region representation based on detection results. The representation includes not only color changes but also potential variations in brightness, pattern, or icon display depending on the presence and characteristics of detected objects. This dynamic parameter adjustment allows the system to convey rich information about blind regions while maintaining a relatively simple display interface.
2Reliability
If the vehicle image is enlarged to cover blind regions, then the driver perceives shorter distances, but the actual distance information is distorted
Solution Approach 1:
The patent introduces an intermediary representation system that bridges the gap between actual distance and perceived distance. Instead of directly distorting the vehicle image, the system uses blind region indicators as intermediaries to convey distance and hazard information. These indicators provide contextual information about objects in blind regions without requiring the driver to misinterpret the actual scale or distance in the main vehicle image, thus maintaining measurement precision while improving safety.
3Loss of information
If additional sensors are installed to capture blind regions, then complete environment coverage is achieved, but the system complexity and cost increase
Solution Approach 1:
The patent applies the self-service principle by having existing sensors serve multiple functions. The sensor system, originally designed for other purposes, is utilized to detect objects in blind regions as well. This approach allows the system to gain information about blind regions without installing additional dedicated sensors, thereby reducing system complexity and cost while still achieving improved environment coverage.
Solution Approach 2:
The patent implements multi-functionality by enabling existing sensors to perform multiple tasks. The sensors not only capture images for their primary function but also detect objects in blind regions for enhanced safety. This universal use of sensor resources maximizes the value of existing hardware investments and avoids the need for additional specialized sensors for blind region detection.
Data Source
Figure 1
Figure 2
AI summary
The invention relates to a method for displaying images (30) on a display means (3) in a motor vehicle (1). A vehicle image (1') of at least one region of the motor vesicle (1) is provided. An image of an environment (10 to 13) of the motor vehicle (1) is captured with the aid of at least one camera (5a to 5d) of the motor vehicle (1). An overall image (30) is displayed on the display means (3), which is formed from the vehicle image (1') and the image of the environment (10 to 13). The overall image (30) includes at one blind region (14', 16', 18', 19') associated with the environment, to which image data is not present. An object external to vehicle is detected based on sensor data of at least one sensor (5a to 5d, 22 to 27, 28, 29) of the motor vehicle (1), and the blind region (14', 16', 18', 19') is represented in the overall image (30) considering the detected object. The invention also relates to a driver assistance system (2) as well as to a motor vehicle (1).