His primary areas of investigation include Artificial intelligence, Computer vision, Inertial measurement unit, Robot and Initialization. His research combines State and Computer vision. His studies in Inertial measurement unit integrate themes in fields like Monocular and Robustness.
His Robustness study combines topics from a wide range of disciplines, such as Mobile device, Augmented reality and Odometry. While the research belongs to areas of Odometry, he spends his time largely on the problem of Feature extraction, intersecting his research to questions surrounding Computation. His Robot study integrates concerns from other disciplines, such as Vehicle dynamics and System dynamics.
Shaojie Shen mainly investigates Artificial intelligence, Computer vision, Trajectory, Inertial measurement unit and Monocular. Shaojie Shen integrates many fields, such as Artificial intelligence and Initialization, in his works. As part of his studies on Computer vision, Shaojie Shen frequently links adjacent subjects like Odometry.
His Trajectory research focuses on Motion planning and how it connects with Euclidean distance and Signed distance function. His research on Inertial measurement unit also deals with topics like
His primary areas of study are Artificial intelligence, Computer vision, Trajectory, Real-time computing and Robustness. His research in Artificial intelligence intersects with topics in Tree and Structure. With his scientific publications, his incorporates both Computer vision and Graph.
As a part of the same scientific study, he usually deals with the Trajectory, concentrating on Control engineering and frequently concerns with Motion planning and Remotely operated underwater vehicle. His biological study spans a wide range of topics, including Robot and Swarm behaviour. Shaojie Shen combines subjects such as Algorithm, Search algorithm and Norm with his study of Robustness.
Real-time computing, Trajectory, Artificial intelligence, Motion capture and Ground truth are his primary areas of study. The various areas that Shaojie Shen examines in his Real-time computing study include Robot and Robustness. His research integrates issues of Control engineering, Motion and Bundle adjustment in his study of Trajectory.
Many of his studies involve connections with topics such as Computer vision and Artificial intelligence. When carried out as part of a general Computer vision research project, his work on Pose, Pixel and 3D reconstruction is frequently linked to work in High dynamic range, therefore connecting diverse disciplines of study. His Motion capture study integrates concerns from other disciplines, such as Swarm behaviour and State.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator
Tong Qin;Peiliang Li;Shaojie Shen.
IEEE Transactions on Robotics (2018)
Autonomous multi-floor indoor navigation with a computationally constrained MAV
Shaojie Shen;Nathan Michael;Vijay Kumar.
international conference on robotics and automation (2011)
Collaborative mapping of an earthquake-damaged building via ground and aerial robots
Nathan Michael;Shaojie Shen;Kartik Mohta;Yash Mulgaonkar.
Journal of Field Robotics (2012)
Collaborative Mapping of an Earthquake Damaged Building via Ground and Aerial Robots.
Nathan Michael;Shaojie Shen;Kartik Mohta;Vijay Kumar.
field and service robotics (2012)
Stereo R-CNN Based 3D Object Detection for Autonomous Driving
Peiliang Li;Xiaozhi Chen;Shaojie Shen.
computer vision and pattern recognition (2019)
Vision-Based State Estimation and Trajectory Control Towards High-Speed Flight with a Quadrotor
Shaojie Shen;Yash Mulgaonkar;Nathan Michael;Vijay Kumar.
robotics science and systems (2013)
A General Optimization-based Framework for Local Odometry Estimation with Multiple Sensors
Tong Qin;Jie Pan;Shaozu Cao;Shaojie Shen.
arXiv: Computer Vision and Pattern Recognition (2019)
Monocular Visual–Inertial State Estimation With Online Initialization and Camera–IMU Extrinsic Calibration
Zhenfei Yang;Shaojie Shen.
IEEE Transactions on Automation Science and Engineering (2017)
Autonomous aerial navigation using monocular visual‐inertial fusion
Yi Lin;Fei Gao;Tong Qin;Wenliang Gao.
Journal of Field Robotics (2018)
Tightly-coupled monocular visual-inertial fusion for autonomous flight of rotorcraft MAVs
Shaojie Shen;Nathan Michael;Vijay Kumar.
international conference on robotics and automation (2015)
Profile was last updated on December 6th, 2021.
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