Roadside Sensor Fusion for Blind-Spot Vehicle Navigation
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Solution Overview
Problem
Conventional autonomous vehicle sensing systems face limitations in detecting objects at traffic intersections and curvy roads due to limited field of view, leading to incomplete navigation data and potential safety hazards.
Innovation Solution
A fusion sensing system that combines sensor data from both fixed environmental sensors and vehicle-mounted sensors, allowing for comprehensive object detection and trajectory prediction, even beyond the vehicle's field of view, by using a network to transmit parameters of objects to the vehicle for optimized navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If only vehicle-mounted sensors are used for object detection, then the system structure remains simple, but the detection capability is limited by the vehicle's field of view and cannot detect objects at traffic intersections or curvy roads
Solution Approach 1:
Fixed environmental sensors are deployed at strategic locations such as traffic intersections and curvy roads to act as intermediaries that detect objects beyond the vehicle's field of view. These fixed sensors capture sensor data about objects in their detection ranges and transmit this data to approaching vehicles through communication networks, thereby extending the effective detection capability without requiring complex modifications to each vehicle's sensor system.
2Loss of information
If fixed environmental sensors are deployed at traffic intersections and curvy roads, then comprehensive object detection beyond vehicle field of view is achieved, but the system complexity and infrastructure requirements increase
Solution Approach 1:
The sensing system is segmented into fixed environmental sensors deployed at specific strategic locations (traffic intersections, curvy roads) and mobile vehicle-mounted sensors. Each segment performs specialized detection functions within its coverage area, and the system integrates data from multiple segments to provide comprehensive navigation information. This segmentation allows the system to achieve complete object detection without requiring every vehicle to have omnidirectional sensing capabilities.
3Reliability
If sensor data from fixed environmental sensors is transmitted to vehicles, then vehicles can navigate safely around undetected objects, but the communication infrastructure and data processing requirements increase
Solution Approach 1:
Fixed environmental sensors perform preliminary detection of objects in advance before vehicles arrive at critical locations like traffic intersections. The sensor data capturing and object parameter determination (position, speed, trajectory) are executed beforehand, and this pre-processed information is transmitted to approaching vehicles. This preliminary action allows vehicles to receive ready-to-use navigation data without requiring complex real-time processing, thereby improving safety while managing system complexity.
Data Source
AI summary
An environmental safety system may include first sensors each located at a predetermined physical location of a physical location and with a predetermined orientation. The system may receive first sensor data captured by the plurality of first sensors. The system may also determine values of parameters of an object within a threshold distance of the physical location using the first sensor data. The values of the parameters of the object may be transmitted to a vehicle approaching the physical location. The vehicle may receive second sensor data captured by second sensors in the vehicle. An optimized navigation of the vehicle approaching the physical location may be determined based on the values of the parameters of the object and the second sensor data. A driving action may be provided to the vehicle based on the optimized navigation of the vehicle.