Vehicle Environment Sensing Around the Driver's Field of Vision
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Solution Overview
Problem
The continuous sensing and evaluation of environmental data by motor vehicle sensors result in high power consumption and resource intensity, necessitating a reduction in data volume and processing workload.
Innovation Solution
A method that determines field of vision data to reduce sensing and evaluation of environmental data to only the partial field relevant to the driver's attention, potentially by adjusting scan rates, deactivating redundant sensors, or selectively evaluating data based on driver attentiveness, thereby reducing power consumption and computing power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous sensing of the environment is performed, then complete environmental monitoring is achieved, but power consumption and computing resources increase significantly
Solution Approach 1:
The system applies different sensing qualities to different spatial regions: the driver's field of vision receives reduced sensing and evaluation, while regions outside the field of vision maintain normal sensing intensity. This local differentiation allows the system to conserve energy in areas where the driver is already visually monitoring, while maintaining comprehensive environmental awareness in other critical zones.
Solution Approach 2:
Instead of performing full sensing and evaluation across the entire environment continuously, the system applies partial action by reducing sensing and evaluation only in the partial field corresponding to the driver's field of vision. This partial reduction maintains sufficient safety while significantly lowering power consumption and computing resource requirements.
2Reliability
If continuous evaluation of sensing data is performed, then all environmental hazards are detected, but computing power requirements increase
Solution Approach 1:
The system applies different evaluation intensities to different spatial regions: sensing data from the driver's field of vision undergo reduced evaluation, while data from other regions maintain full evaluation processing. This local differentiation reduces the overall computing power requirements while maintaining hazard detection capability in critical zones.
Solution Approach 2:
The system performs partial evaluation by selectively reducing the evaluation of sensing data only in the partial field corresponding to the driver's field of vision. This approach maintains sufficient hazard detection capability while significantly reducing the computing power required for data processing.
3Reliability
If full sensing coverage is maintained, then all potential risks are monitored, but hardware requirements increase
Solution Approach 1:
The system implements local quality by applying reduced sensing and evaluation only to the specific region corresponding to the driver's field of vision, while maintaining normal sensing intensity in other regions. This spatially differentiated approach allows the use of smaller, less costly hardware components overall, while preserving comprehensive risk monitoring coverage in critical zones.
Data Source
AI summary
The disclosure relates to a method for operating a motor vehicle having at least one environment sensing device that senses an environment of the motor vehicle and to the motor vehicle. The method involves: determining field of vision data that describe a field of vision of a driver of the motor vehicle; determining partial field data that describe a partial field of the environment of the motor vehicle overlapping the field of vision of the driver, by evaluating the field of vision data; and reducing sensing or evaluating of sensing data that are sensed by the at least one environment sensing device and that describe the partial field according to the partial field data.