Tongji University

Semiconductor Components Industries, LLC

Maxlinear, Inc.

Ping Lu

Yong Wang

Bin He

Zhipeng Wang

Huizhao Wang

Jun Jin

James Wood

Hongping Liu

Runjie Shen

Zhongpan Zhu

Yanmin Zhou

Karthik Ramasubramanian

Benjamin Mung

Denis Bykov

Lin Fang

Yan Chen

Yang Shen

Bin Cheng

Qiqi Zhu

Yimin Lou

The embodiment of this present disclosure provides a control method of unmanned aerial vehicle (UAV) hovering in tunnel, which comprises the following steps: acquiring hovering information of hovering position of UAV; acquiring the position information of the current position of the UAV; determining flight parameters based on hovering information and position information. The flight parameters are used to control the UAV to move from the current position to the hovering position.

Method and system for hovering control of unmanned aerial vehicle in tunnel

The method includes: obtaining point cloud information collected by a depth camera, laser information collected by a lidar, and motion information of an unmanned aerial vehicle (UAV); generating a raster map based on the laser information, and obtaining pose information of the UAV based on the motion information; obtaining a map model through fusing the point cloud information, the raster map, and the pose information by a Bayesian fusion method; and correcting a latest map model by feature matching based on a previous map model.

Methods and systems for modeling poor texture tunnels based on vision-lidar coupling

A system and a method are provided for feasibility evaluation of UAV Digital Twin based on Vicon motion capture system is disclosed, which establishes a mission feasibility evaluation model according to flight history data of a target UAV acquired by the UAV Digital Twin system. The mission feasibility evaluation model includes a UAV trajectory prediction module and a mission feasibility determination module. The UAV trajectory prediction module acquires real-time position and attitude information of the target UAV according to the Vicon motion capture system, and predicts target flight trajectory of the target UAV according to the real-time position and attitude information. The mission feasibility determination module compares the position difference between an end point of the target flight trajectory and preset designated mission point to evaluate feasibility of target mission of the target UAV.

Method for feasibility evaluation of UAV digital twin based on vicon motion capture system

An example method may include receiving, at a device, a first frame over a wireless network and constructing a preliminary data portion of a second frame. The second frame may be configured for transmission over the wireless network. The method may also include in response to the receiving of the first frame at the device, beginning transmission of a header portion of the second frame over the wireless network and after the beginning transmission of the header portion of the second frame, constructing, based on the preliminary data portion, a finalized data portion of the second frame for transmission over the wireless network.

Wireless data transmission

Growing community of inventors

Shanghai, China

Ping Lu