Vehicle-Building Docking Control for Sensor-Guided Gate Alignment
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Solution Overview
Problem
The challenge lies in precisely measuring and compensating for docking errors between vehicles and buildings during autonomous docking, especially when external obstacles hinder precise positioning and movement of the vehicle and gate.
Innovation Solution
A docking control system utilizing a plurality of sensors, including LiDAR, gate position sensors, and contact sensors, controlled by a controller to set and adjust the movement of both the vehicle and gate for accurate alignment and contact, allowing for efficient connection of indoor spaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single sensor is used for distance measurement during vehicle docking, then the device complexity is reduced, but the measurement precision and docking accuracy deteriorate
Solution Approach 1:
The patent divides the measurement task into multiple segments by using different sensors for different measurement purposes: LiDAR for distance measurement, gate position sensors for gate location detection, and contact sensors for contact verification. This segmentation allows each sensor to specialize in its specific function, improving overall measurement precision without requiring a single complex sensor to handle all tasks
Solution Approach 2:
The patent combines multiple sensors (LiDAR, gate position sensors, contact sensors) into an integrated docking control system that works together synergistically. The controller processes information from all sensors to comprehensively determine docking status, achieving high measurement precision through the combined capability of multiple sensors rather than relying on a single sensor
2Reliability
If the vehicle is parked at a fixed position without adjustment, then the ease of operation is improved, but the adaptability to docking errors deteriorates
Solution Approach 1:
The patent implements dynamic adjustment capabilities for both the vehicle and gate during the docking process. The vehicle can perform longitudinal and lateral movements to correct positioning errors, while the gate can also move to accommodate docking deviations. This dynamic adjustment ensures reliable docking accuracy while maintaining ease of operation through automated control
Solution Approach 2:
The patent employs feedback mechanisms where sensors continuously monitor the docking process and provide information to the controller. Based on this feedback, the system automatically adjusts vehicle position and gate position to compensate for docking errors, ensuring high reliability without requiring manual intervention, thus maintaining ease of operation
3Reliability
If the gate remains stationary during docking, then the device complexity is reduced, but the adaptability to positioning errors deteriorates
Solution Approach 1:
The patent makes the gate dynamic by enabling it to move in response to detected positioning errors. The gate position sensors detect the relative position between the vehicle and gate, and the controller commands the gate to move to the appropriate position for successful docking. This dynamic gate capability improves docking reliability while the automated control keeps the operational complexity manageable
Solution Approach 2:
The gate system performs self-adjustment based on sensor feedback without requiring external intervention. When positioning errors are detected, the gate automatically moves to compensate, and when docking is successful, it automatically opens. This self-service capability improves reliability while minimizing the need for complex external control systems
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system ensures precise and error-free docking by determining and compensating for positional and height differences, enabling safe and efficient connection of vehicle and building interiors while preventing obstacles from interfering with the process.
Implementation Method 1
the vehicle sensor may include a Light Detection and Ranging (LiDAR) sensor
Data Source
AI summary
A docking control system for a vehicle and a building and a method therefor, includes a plurality of sensors including a vehicle sensor and a gate sensor, and a controller, when a vehicle approaches a gate, which controls the plurality of sensors to set amount of movement of the vehicle, to move the gate so that a vehicle door and the gate are brought into close contact with each other, and when positional satisfaction between the vehicle door and the gate is achieved, which opens the vehicle door and the gate so that an indoor space of the vehicle and an indoor space of the building are connected each other into one space.