Environmental Safety System for Static Object Detection
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Solution Overview
Problem
Conventional autonomous vehicle sensing systems have limitations in detecting static objects, particularly at traffic intersections, due to the restricted field of view and capabilities of onboard sensors, which can lead to incomplete navigation data.
Innovation Solution
An environmental safety system that combines sensor data from fixed sensors at predetermined locations with onboard vehicle sensors, processing data to determine the stationary status of objects and transmit this information to the vehicle, enhancing navigation accuracy and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only onboard vehicle sensors are used for object detection, then the vehicle's sensing system is simple and self-contained, but the detection capability for static objects is insufficient
Solution Approach 1:
The patent combines onboard vehicle sensors with external fixed sensors located at predetermined positions around the vehicle. The fixed sensors detect static objects that onboard sensors might miss, while the vehicle sensors continue to detect moving objects. The system merges data from both sensor sources to achieve comprehensive object detection, resolving the contradiction between detection capability and system complexity.
2Area of stationary object
If the field of view of onboard sensors is increased to detect more objects, then more objects can be detected, but the sensor cost and complexity increase
Solution Approach 1:
The patent divides the sensing task into two segments: fixed sensors at predetermined locations handle detection of static objects in specific zones, while onboard sensors handle moving objects and areas not covered by fixed sensors. This segmentation allows each sensor system to have a focused, smaller field of view rather than requiring one large comprehensive system, reducing overall complexity while maintaining wide effective coverage.
3Measurement precision
If historical time data from multiple time points is collected to distinguish static objects, then object classification accuracy improves, but data processing time increases
Solution Approach 1:
The system collects sensor data at multiple predetermined time points before the vehicle reaches critical locations. By gathering historical data in advance and analyzing it beforehand to determine whether objects are static or moving, the system prepares classification results ahead of time. This preliminary action reduces the processing time needed during critical decision-making moments while maintaining high classification accuracy.
Data Source
AI summary
An environmental safety system may comprise a plurality of first sensors each located at a predetermined physical location and with a predetermined orientation. The system may receive first sensor data captured at a plurality of time points and by the plurality of first sensors. The system may also determine values of one or more parameters of an object within a threshold distance of the physical location at a last time point of the plurality of time points using the first sensor data. The values of the one or more parameters of the object may comprise a stationary status of the object at the last time point. The values of the one or more parameters of the object may be transmitted to a vehicle approaching the physical location. The vehicle may receive second sensor data captured by a plurality of second sensors in the vehicle. An optimized navigation of the vehicle approaching the physical location may be determined based on stationary status of the object at the last time point and the second sensor data. A driving action may be provided to the vehicle based on the optimized navigation of the vehicle. The driving action may be characterize one or more maneuvers to be performed by the vehicle to execute the optimized navigation nearby the physical location.