Hidden Road Parameter Detection via Remote Vehicle Sensing
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Solution Overview
Problem
Current vehicle warning systems fail to notify occupants of road parameters that are outside the field of view of the sensors mounted on the vehicle, such as obstructions or road signs, which can obstruct the driver's line of sight.
Innovation Solution
A hidden road parameter detection system where a host vehicle communicates with a local remote vehicle to identify road parameters and obstructions, using sensors like cameras, wheel speed sensors, and GPS, to generate actuation signals for autonomous driving modules to maneuver the vehicle around obstacles or adjust speed according to road signs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If sensors are mounted on the vehicle to monitor blind spot regions, then occupants are notified of road parameters within sensor field of view, but occupants are not notified of road parameters outside the sensor field of view
Solution Approach 1:
A remote vehicle acts as an intermediary to detect road parameters that are outside the host vehicle's sensor field of view. The remote vehicle's sensors detect obstructions or road signs, and this information is transmitted to the host vehicle's notification system, enabling extended coverage without adding sensors to the host vehicle.
Solution Approach 2:
The system transitions from a single-vehicle detection dimension to a multi-vehicle collaborative detection dimension. By utilizing the remote vehicle's spatial position and sensor data, the system creates a distributed detection network that covers areas beyond any single vehicle's sensor range.
2Reliability
If the system uses remote vehicles to detect hidden road parameters, then notification coverage is improved, but system complexity increases due to inter-vehicle communication requirements
Solution Approach 1:
The notification system is designed to receive inputs from multiple sources (host vehicle sensors and remote vehicle communications). The same notification infrastructure serves both local sensor data and remotely transmitted data, reducing the need for separate communication architectures while improving reliability.
3Measurement precision
If the system compares obstruction classification to predetermined size classifications, then detection accuracy is improved, but processing time increases
Solution Approach 1:
The system pre-establishes size classification categories and criteria before runtime. When an obstruction is detected, the system compares the detected object's characteristics against these pre-defined classifications, enabling rapid and accurate categorization without complex real-time analysis.
Data Source
AI summary
A hidden road parameter detection system is provided with a host vehicle. The system includes a remote vehicle having one or more remote input devices generating one or more remote input signals associated with data indicative of a host vehicle, the road parameter, and/or an obstruction blocking a line of sight between the host vehicle and the road parameter. The system further includes a computer having one or more processors and a non-transitory computer readable medium storing instructions, such that the processor is programmed to compare a classification of the obstruction. The processor is further programmed to generate an actuation signal in response to the processor determining that the obstruction is blocking the line of sight from the host vehicle to the road parameter. The host vehicle includes one or more notification devices notifying an occupant of the host vehicle of the road parameter.