Tusimple, Inc.

Beijing Tusen Zhitu Technology Co., Ltd.

Yue Pan

Xiaoling Han

Zehua Huang

Kaixin Zheng

Lei Nie

Zhiqi Gong

Zhaohan Jia

Yu Zhang

Todd B Skinner

Zijie Xuan

Arda Kurt

Juexiao Ning

Yishi Liu

Pingyuan Ji

Yujia Wu

Jade E Day

Shuhan Yang

Esayas Naizghi

Dangyi Liu

Junjun Xin

Jianqiu Cao

Jun Luo

A power management system is disclosed for managing power in a vehicle. The system may include a power distribution unit (PDU) communicably coupled to a power controller unit located in the vehicle. The power controller unit comprises a microcontroller configured to: receive, from the PDU, a temperature value that indicates a temperature of the PDU, one or more voltage values from the one or more voltage sensors, or one or more current values from the one or more current sensors, perform a determination that the temperature value, the one or more voltage values, or the one or more current values are below one or more of their respective pre-determined threshold values, and send, after the determination, a health status message to a computer located in the vehicle, where the health status message indicates that the PDU is operating in a safe operating condition.

Power management system for autonomous vehicles

A method for controlling an autonomous vehicle includes collecting data about a surrounding of the autonomous vehicle, the data including global information of where the autonomous vehicle is positioned; deriving, at least in part based on the collected data, a perceived environment based on localizing the global information; determining a driving condition of the autonomous vehicle based on the perceived environment; modifying, according to the determined driving condition, a first configuration parameter of a sensor to adjust an amount of output data from the sensor; and simultaneously adjusting, according to the determined driving condition, a second configuration parameter for processing the output data to allow consistent data capturing and processing of the output data. A control system can employ such a method, and an autonomous vehicle can utilize such a control system.

Adaptive sensor control

An autonomous vehicle includes a detection system for identifying the presence changes in wind incident on the autonomous vehicle, particularly wind gusts. The detection system may include one or more wind sensors, particularly those configured to detect wind incident on the vehicle from a direction that is transverse or perpendicular to the direction of motion of the autonomous vehicle. Additionally, systems may be present that correlate the detected wind gusts to changes in the behavior of the autonomous vehicle. The autonomous vehicle may react to the detected wind gusts by altering the vehicle's trajectory, by stopping the vehicle, or by communicating with a control center for further instructions.

Wind gust detection by an autonomous vehicle

Devices, systems, and methods for hardware-based time synchronization for heterogenous sensors are described. An example method includes generating a plurality of input trigger pulses having a nominal pulse-per-second (PPS) rate, generating, based on timing information derived from the plurality of input trigger pulses, a plurality of output trigger pulses, and transmitting the plurality of output trigger pulses to a sensor of a plurality of sensors, wherein a frequency of the plurality of output trigger pulses corresponds to a target operating frequency of the sensor, wherein, in a case that a navigation system coupled to the synchronization unit is functioning correctly, the plurality of input trigger pulses is generated based on a nominal PPS signal from the navigation unit, and wherein, in a case that the navigation system is not functioning correctly, the plurality of input trigger pulses is generated based on a simulated clock source of the synchronization unit.

Hardware-based time synchronization for heterogeneous sensors in autonomous vehicles

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Tucson, AZ, United States of America

Yue Pan