Driver View Obstruction Detection With Automatic ADAS Response
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Solution Overview
Problem
Drivers face challenges in maintaining visibility during obstructed field of view due to frosted windows, covered mirrors, or blind spots, which can be exacerbated by sudden reductions in visibility, making it difficult to quickly engage Advanced Driver Assistance Systems (ADAS) features.
Innovation Solution
A vehicle system that uses sensors and communication with other vehicles to detect and predict obstructions, providing real-time images on a display and controlling vehicle parameters to assist the driver, including enabling ADAS features when visibility is reduced.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If ADAS features are limited or disabled under ideal driving conditions, then system resource usage is reduced, but driver assistance is insufficient when visibility is suddenly reduced
Solution Approach 1:
The system performs preliminary detection of obstruction conditions and proactively activates remedial actions before the driver can manually respond. The processor continuously monitors sensor data to detect obstructions in the driver's field of view, and automatically activates remedial actions such as alerting the driver or adjusting vehicle operations without requiring driver intervention.
Solution Approach 2:
The system enables itself automatically when obstruction conditions are detected, eliminating the need for manual driver activation. The processor monitors sensor inputs and autonomously activates ADAS features and remedial actions based on detected conditions, making the system self-activating rather than requiring external user input.
2Ease of operation
If the driver takes focus off the road to turn on ADAS features, then the features can be activated, but driving safety is compromised during the transition
Solution Approach 1:
The system activates itself automatically based on sensor detection without requiring the driver to divert attention from the road. The processor continuously monitors sensor data and autonomously activates appropriate ADAS features and remedial actions, eliminating the need for manual activation during critical driving moments.
Solution Approach 2:
The system detects obstruction conditions and activates remedial actions before the driver needs to respond, eliminating the need for the driver to take their focus off the road. The automatic activation occurs in advance of any potential safety issue, maintaining continuous driver attention on the road.
3Loss of information
If real-time images are displayed on a display screen, then driver visibility is improved, but the system complexity increases
Solution Approach 1:
The system uses existing vehicle sensors and display components for multiple functions. The same sensors that monitor the environment are used to detect obstructions, and the existing display screen is utilized to show remedial visual information, eliminating the need for additional dedicated hardware components.
Solution Approach 2:
The system uses existing vehicle sensors as intermediaries to detect obstructions and the display screen as an intermediary to present visual information to the driver. These existing components mediate between the obstruction condition and the driver, providing assistance without requiring new specialized hardware.
4Reliability
If vehicle parameters are automatically controlled during obstruction, then driving safety is maintained, but the extent of automation increases
Solution Approach 1:
The system automatically monitors obstruction conditions and self-adjusts vehicle parameters without requiring driver intervention. The processor autonomously controls vehicle operations based on sensor detection, making the system self-regulating rather than requiring manual control adjustments.
Solution Approach 2:
The system continuously monitors sensor data to detect obstruction conditions and automatically adjusts vehicle parameters based on this feedback. The processor uses real-time sensor inputs as feedback to dynamically control vehicle operations, creating a closed-loop control system that maintains safety automatically.
Data Source
AI summary
A vehicle having a detection unit, a vehicle sensor suite, and a processor is disclosed. The detection unit may be configured to capture first inputs associated with a driver's field of view. The vehicle sensor suite may be configured to capture second inputs associated with a geographical area that is obstructed from the driver field of view. The processor may be configured to obtain the first inputs from the detection unit, and determine that the driver's field of view may be obstructed based on the first inputs. The processor may obtain the second inputs associated with the geographical area from a vehicle sensor associated with the vehicle sensor suite, responsive to determining that the driver's field of view is obstructed. The second inputs may include real-time images of the geographical area. The processor may output the real-time images on a display screen in the vehicle.