Self-Calibrating Lidar and Radar Scanning With IMU Motion Correction
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Solution Overview
Problem
Scanning systems such as lidar and radar face accuracy and resolution issues due to adverse weather conditions and vehicle movement, leading to false positives or negatives and image stabilization problems.
Innovation Solution
The use of an inertial measurement unit to self-calibrate scanning systems by providing spatial and phase data for real-time range and angular corrections, combining machine learning and mathematical optimization algorithms to improve sensor accuracy and map generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If scanning systems are used to detect objects and generate 3D maps, then object detection capability is improved, but accuracy deteriorates due to vehicle movement and vibration
Solution Approach 1:
The system uses an inertial measurement unit (IMU) to continuously monitor vehicle motion and provides real-time feedback about spatial displacement and angular orientation to the scanning system. This feedback loop allows the system to compensate for vehicle movement by adjusting scan data according to the vehicle's actual position and orientation, thereby maintaining detection accuracy despite motion.
Solution Approach 2:
The inertial measurement unit acts as an intermediary between the vehicle's motion and the scanning system. It measures vehicle displacement and rotation independently, then uses this information to correct the scan data. This intermediary component isolates the scanning system from the direct effects of vehicle motion, allowing accurate object detection even during movement.
2Adaptability or versatility
If scanning systems operate in adverse weather conditions, then all-weather operation capability is improved, but measurement accuracy deteriorates due to environmental factors
Solution Approach 1:
The system incorporates feedback from the inertial measurement unit to continuously monitor and compensate for environmental effects on the scanning system. By measuring the vehicle's actual spatial position and orientation in real-time, the system can adjust scan interpretations to account for adverse weather conditions, maintaining measurement precision across varying environmental conditions.
3Measurement precision
If real-time correction for vehicle movement is implemented, then detection accuracy is improved, but system complexity increases due to additional sensors and processing
Solution Approach 1:
The system uses the vehicle's existing inertial measurement unit, which is already part of the vehicle's standard equipment for navigation and control. By leveraging this existing sensor, the system avoids adding dedicated motion sensors specifically for the scanning system, thereby reducing overall complexity while still achieving real-time motion compensation.
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
Enhances the accuracy and field of view of scanning systems by correcting for environmental and movement-related errors, resulting in more precise 3D and 4D map generation.
Implementation Method 1
The spatial or angular displacement of the detector relative to the light source is measured using data from an inertial measurement unit
Implementation Method 2
an energy transmission source configured to transmit an energy signal through a transmittal area
Implementation Method 3
The scanning system is a millimeter wave radar system and the energy transmission source is a millimeter wave source
Implementation Method 4
A detector receives a return energy signal of at least one target object of the energy transmitter source within the transmittal area
Implementation Method 5
lidar is a common sensing method used in automotive vehicles to detect objects, map their distances
Implementation Method 6
The system calculates at least one of the range and position of an object from information relating to at least one of the time and phase of the return energy signal relative to the transmittal energy signal
Data Source
AI summary
A self-calibrating scanning system and method provides a novel way to eliminate errors in scanning systems, such as lidar or radar detection, using an inertial measurement unit. The system includes an energy transmission source configured to transmit an energy signal through a transmittal area. A detector receives a return energy signal of at least one target object of the energy transmitter source within the transmittal area. The system calculates at least one of the range and position of an object from information relating to at least one of the time and phase of the return energy signal relative to the transmittal energy signal. The spatial or angular displacement of the detector relative to the light source is measured using data from the inertial measurement unit, and at least one of calculated range and position of the object is adjusted based on the spatial or angular displacement of the detector.