Trusted Motion Unit Using IMU-First Sensor Fusion for Localization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Autonomous vehicle navigation systems face challenges in achieving precise and reliable localization due to the susceptibility of GPS and perception sensors to environmental conditions and data outages, leading to inconsistent and inaccurate location determination.
Innovation Solution
A navigation system that treats the inertial measurement unit (IMU) as the primary sensor, utilizing a trusted motion unit with an integration circuit and extended Kalman filter to combine data from IMU, perception sensors, and GPS, with separate filters for each subsystem to enhance localization accuracy and reduce latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If GPS and perception sensors are used as primary sensors for navigation, then the system can provide location information, but the localization accuracy and reliability deteriorate due to susceptibility to environmental conditions and data outages
Solution Approach 1:
The navigation system is segmented into multiple independent subsystems: IMU subsystem, GPS subsystem, and perception sensor subsystem. Each subsystem processes data independently through its own filter, and their results are combined to achieve reliable and accurate localization. This segmentation allows the system to maintain functionality and accuracy even when individual sensors experience environmental interference or data outages.
2Speed
If GPS and perception sensors are used for navigation, then location data can be obtained, but latency increases reducing the speed of localization response
Solution Approach 1:
The IMU subsystem performs preliminary action by continuously integrating acceleration data to predict velocity and position in advance. This preliminary computation allows the system to provide immediate localization estimates without waiting for GPS or perception sensor data, significantly reducing latency. The predicted values are then refined by other subsystems, maintaining both speed and accuracy.
3Measurement precision
If multiple navigation subsystems with separate filters are used, then localization accuracy improves, but device complexity increases
Solution Approach 1:
The system segments the filtering operations into separate, modular filters for each navigation subsystem (IMU filter, GPS filter, perception filter). This segmentation allows each filter to be optimized independently for its specific sensor type while maintaining a unified overall architecture. The modular structure reduces complexity by avoiding the need for a single complex filter that would need to handle all sensor types simultaneously.
Data Source
AI summary
Navigation systems and methods for autonomous vehicles are provided. The navigation system may include multiple navigation subsystems, including one having an inertial measurement unit (IMU). That unit may serve as the primary unit for navigation purposes, with other navigation subsystems being treated as secondary. The other navigation subsystems may include global positioning system (GPS) sensors, and perception sensors. In some embodiments, the navigation system may include a first filter for the IMU sensor and separate filters for the other navigation subsystems.