Reflective Surface Calibration for Long-Range AV Sensors
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Solution Overview
Problem
Current calibration methods for autonomous vehicles are limited by the need for large geographic footprints and do not account for vehicle placement or disparities among sensors, leading to inaccurate distance calibrations and extrinsic calibration challenges.
Innovation Solution
The use of reflective materials and a structured calibration environment with an Autonomous Vehicle Rotation Table to artificially augment distance, allowing for precise distance calibration using LiDAR and radar signals, and enabling more accurate intrinsic and extrinsic calibration by reducing the reliance on large calibration scenes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If large geographic calibration environments are used, then distance calibration accuracy is improved, but device complexity and calibration scene requirements increase
Solution Approach 1:
A reflective medium is introduced as an intermediary between the sensor and target object to extend the optical path. This mediator allows the calibration system to achieve long-range calibration effects in a compact physical space, resolving the contradiction between measurement precision and device complexity
Solution Approach 2:
The calibration approach transitions from using physical space extension to using optical path extension through reflection. By folding the optical path using reflective surfaces, the system achieves equivalent calibration效果 in a reduced physical footprint
2Measurement precision
If reflective media are used to extend optical paths, then calibration accuracy is improved, but information loss may occur due to multiple reflections
Solution Approach 1:
The system uses reflective media to create virtual images of the target object, effectively copying the target appearance multiple times at different virtual positions. This allows the sensor to capture calibration data from multiple virtual distances without physically moving the target, maintaining signal quality while achieving diverse calibration conditions
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 approach enables more robust and accurate distance calibrations, improving the precision of sensor data and reducing the need for extensive calibration environments, thereby enhancing the reliability of autonomous vehicle navigation systems.
Implementation Method 1
a first reflective medium configured to reflect electromagnetic radiation from the emitter, and a target, wherein the first reflective medium is disposed in a pathway between the target and autonomous vehicle
Data Source
AI summary
Apparatus and methods are provided for distance calibration of an autonomous vehicle in a nominally short distance calibration environment. In particular, apparatus, methods and systems are provided using reflective materials to artificially augment a distance to a known target. In various implementations, reflective planes are disposed in pathway between the autonomous vehicle and target. Targets of known sizes can be used to calculated a distance from the autonomous vehicle to the target. Utilizing the known optical pathway, a calibration can be performed. With the aid of an Autonomous Vehicle Rotation Table, the autonomous vehicle is rotated such that a matrix of range-angle calibrations can be executed. Frequency spectra include LiDAR and radar, but any suitable bandwidth and/or detection protocol is not beyond the scope of the present disclosure. To this end, a structured calibration environment can be diminished in size, giving rise to more accurate distance calibrations, both intrinsically and extrinsically.