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Hilti-oxford dataset: A millimeter-accurate benchmark for simultaneous localization and map**
Simultaneous Localization and Map** (SLAM) is being deployed in real-world
applications, however many state-of-the-art solutions still struggle in many common …
applications, however many state-of-the-art solutions still struggle in many common …
Deep imu bias inference for robust visual-inertial odometry with factor graphs
Visual Inertial Odometry (VIO) is one of the most established state estimation methods for
mobile platforms. However, when visual tracking fails, VIO algorithms quickly diverge due to …
mobile platforms. However, when visual tracking fails, VIO algorithms quickly diverge due to …
Multi-camera lidar inertial extension to the newer college dataset
Rmsc-vio: Robust multi-stereoscopic visual-inertial odometry for local visually challenging scenarios
T Zhang, J Xu, H Shen, R Yang… - IEEE Robotics and …, 2024 - ieeexplore.ieee.org
We present a Multi-Stereoscopic Visual-Inertial Odometry (VIO) system capable of
integrating an arbitrary number of stereo cameras, exhibiting excellent robustness in the …
integrating an arbitrary number of stereo cameras, exhibiting excellent robustness in the …
Shanghaitech map** robot is all you need: Robot system for collecting universal ground vehicle datasets
B Xu, X Zhao, D Feng, Y Yang… - ar** Robot, a state-of-the-art unmanned ground
vehicle (UGV) designed for collecting comprehensive multi-sensor datasets to support …
vehicle (UGV) designed for collecting comprehensive multi-sensor datasets to support …