Coded Light Docking for Autonomous Vehicles
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Solution Overview
Problem
Conventional docking systems for autonomous vehicles, such as aerial drones and surface robots, face challenges with precision and efficiency due to reliance on environmental brightness, mechanical failures, and inaccurate direction guidance, leading to slow location determination and unnecessary movements.
Innovation Solution
A system utilizing a projector to emit a temporal light signal encoded with pixel coordinates, detected by light sensors and processed by an onboard computer to determine the vehicle's location and orientation, enabling precise guidance and docking through proportional-integral-derivative (PID) calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If conventional vision-based docking systems are used, then the system can determine location, but the determination speed is slow and it relies on environmental brightness
Solution Approach 1:
The patent replaces conventional vision-based optical systems with a coded light transmission system using LEDs and photodetectors. This substitution enables active illumination rather than passive environmental light detection, dramatically improving location determination speed while maintaining docking accuracy through coded signal processing
Solution Approach 2:
The system changes the parameter of light detection from passive intensity measurement to active coded signal detection. By modulating LED lights with unique codes and detecting these codes with photodetectors, the system achieves faster location determination independent of environmental brightness conditions
2Device complexity
If mechanical docking parts are used, then the docking structure is simple, but the system introduces points of mechanical failure
Solution Approach 1:
The patent replaces mechanical docking components with optical sensing and electronic control systems. Photodetectors detect coded light signals to determine position, and microcontrollers execute docking algorithms, eliminating mechanical wear and failure points while maintaining structural simplicity
3Ease of operation
If complicated region relations are used for direction guidance, then the system can provide direction information, but the robot performs unnecessary sideways movements
Solution Approach 1:
The patent segments the docking area into distinct regions, each illuminated by LEDs with unique coded signals. The photodetector identifies which region it is in by detecting the coded light, providing direct directional guidance without requiring complex region relation calculations or unnecessary sideways movements
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
This solution allows for quick and accurate docking by determining the vehicle's angular position and distance to the projector, adjusting speed and orientation for smooth and precise alignment with charging contacts, enhancing the efficiency and reliability of the docking process.
Implementation Method 1
a projector configured to project a temporal projector light signal
Implementation Method 2
the light sensor is configured to detect the temporal projector light signal and generate a sensor signal
Data Source
AI summary
Precision docking is one of the most important tasks for drones and surface robots to charge themselves and load/unload packages. Without accurate docking, surface robots and drones will miss their charging pad or charging contacts and cannot automatically charge themselves for later tasks. Described is a system using coded light to guide the precision docking process for drones and ground robots. More specifically, the system uses projectors to project temporal identifiers for space partitioned by pixel projections. Different space partition gets a different identifier. By using a simple light sensor on a drone or a ground robot, the drone or the ground robot can know its precise location in the space and therefore knows where to move for a precise docking. Depending on docking precision requirement, the coded light precision may be adjusted by using projectors with different resolutions.


