Qualcomm Incorporated

Baidu USA LLC

Baidu.com Times Technology (beijing) Co. Ltd.

Quanwei Liu

Sai Pradeep Venkatraman

Yan Cui

Wyatt Thomas Riley

Zhuo Yao

Lionel Jacques Garin

SaiPradeep Venkatraman

Yao Zhuo

In one embodiment, a method for synchronizing sensor data of an autonomous driving vehicle includes determining, by a processing device of an inertial navigation system (INS), that global navigation satellite system (GNSS) data is unavailable and identifying an alternative source of time information. The method further includes retrieving time information from the alternative source and synchronizing sensor data with the time information from the alternative source of time information.

Time determination of an inertial navigation system in autonomous driving systems

In one embodiment, a method for calculating a location of an autonomous driving vehicle includes receiving new global navigation satellite system (GNSS) data. The method further includes identifying a first previously estimated location from a plurality of previously estimated locations with a timestamp that is closest to the timestamp of the new GNSS data and identifying a second previously estimated location from the plurality of previously estimated locations with a most recent timestamp. The method further includes calculating a difference between the first previously estimated location and the second previously estimated location, adjusting the new GNSS data based on the difference; and calculating a current estimated location of the ADV based on the adjusted GNSS data.

Latency compensation in inertial navigation system

In one embodiment, a system includes a global navigation satellite system (GNSS) receiver unit, a first inertial measurement unit (IMU) and a second IMU. The system may further include a first micro-controller unit (MCU) coupled to the first IMU and the GNSS receiver unit to receive data from the first IMU and the GNSS receiver unit and a second MCU coupled to the second IMU and the GNSS receiver unit to receive data from the second IMU and the GNSS receiver unit.

Dual inertial measurement units for inertial navigation system

Methods and apparatuses are provided that may be implemented in various electronic devices to identify suspect measurements for use in a position/velocity/time estimation filter and provide corresponding validated measurements that may be either operatively re-weighted in some manner or operatively one-sided isolated in some manner when subsequently considered by the position/velocity/time estimation filter.

Methods and apparatuses for selectively validating satellite positioning system measurement information

Methods and apparatuses are provided that may be implemented various electronic devices to affect application of a filtering model used for obtaining a navigation solution. In particular, signal characteristics of one or more received signals are used for selecting application of a particular filtering model from a plurality of filtering models.

Methods and apparatuses for affecting application of a filtering model using carrier phase

A navigation system includes a pressure sensor, a calibration module in communication with the pressure sensor, and an altitude module in communication with the calibration module. The calibration module is configured to determine a dynamic pressure proportionality coefficient based at least in part on a static pressure proportionality coefficient, a measured pressure value from the pressure sensor, and a velocity value. The altitude module is configured to calculate a sensor-based altitude value based at least in part on the determined dynamic pressure proportionality coefficient.

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Sunnyvale, CA, United States of America

Quanwei Liu