Barrier Gate Crossbar Status Detection for Autonomous Vehicle Passage
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
There is no definite solution for how an autonomous driving vehicle passes through a barrier gate crossbar.
Innovation Solution
A method and apparatus that utilize sensors to detect barrier gate crossbars, determine the target crossbar's status, and control the vehicle to pass through it based on its open/close and motion states, using a processor to analyze data from road maps and sensor inputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the vehicle uses sensors to detect multiple barrier gate crossbars, then the ability to identify the target crossbar is improved, but the complexity of detecting and measuring increases
Solution Approach 1:
The system performs preliminary actions by obtaining the pose of the target barrier gate crossbar in advance from the road map before sensor detection. This allows the vehicle to know where to look and what to expect, significantly reducing the complexity of real-time detection and measurement while improving identification accuracy.
Solution Approach 2:
The system uses feedback by comparing sensor-detected crossbar data with pre-obtained road map pose information. This feedback mechanism allows the vehicle to verify detections, resolve ambiguities among multiple detected crossbars, and continuously refine its identification of the target crossbar, improving accuracy while managing detection complexity.
2Loss of time
If the vehicle determines crossbar status based on pose data, then the response time is improved, but the reliability of status determination deteriorates
Solution Approach 1:
The system performs preliminary action by obtaining the pose of the target barrier gate crossbar from the road map in advance of reaching the crossbar. This pre-positioned information provides immediate status determination (reducing time loss) while the pose data itself serves as a reliable indicator of crossbar state and motion direction.
Solution Approach 2:
The system applies dynamics by using the pose information to determine not only the current status of the barrier gate crossbar but also its motion state (opening, closing, or stationary). This dynamic assessment allows the vehicle to plan its passage timing reliably based on the crossbar's current state and expected future state, maintaining both speed and accuracy.
3Reliability
If the vehicle controls passage based on crossbar status, then the safety of passing through is improved, but the complexity of control increases
Solution Approach 1:
The system performs preliminary action by determining the status and motion state of the barrier gate crossbar before the vehicle reaches it. This advance knowledge allows the control system to plan the passage maneuver in advance, improving safety while keeping control logic relatively simple by executing pre-planned actions rather than making complex real-time decisions.
Solution Approach 2:
The control system uses dynamics by adjusting the vehicle's passage behavior based on the determined motion state of the crossbar. If the crossbar is opening, the vehicle can proceed; if closing, the vehicle waits; if stationary, the vehicle passes through. This dynamic, state-based control approach improves safety while maintaining manageable control complexity through clear conditional logic.
Data Source
AI summary
A vehicle collects data of a plurality of to-be-detected barrier gate crossbars around the vehicle by using a sensor mounted on the vehicle, and transmits the data of the plurality of to-be-detected barrier gate crossbars to a processor; the processor determines data of a target barrier gate crossbar from the data of the plurality of to-be-detected barrier gate crossbars based on a pose of the target barrier gate crossbar, where the target barrier gate crossbar is a barrier gate crossbar of a lane on which the vehicle is located; and the processor determines a status of the target barrier gate crossbar based on the data of the target barrier gate crossbar, and controls, based on the status of the target barrier gate crossbar, the autonomous driving vehicle to pass through the target barrier gate crossbar.