10 citations · 13 across the 6 of their papers we have counts for
6 papers
Doctoral Thesis: Geometric Deep Learning For Camera Pose Prediction, Registration, Depth Estimation, and 3D Reconstruction
Xueyang Kang
Modern deep learning developments create new opportunities for 3D mapping technology, scene reconstruction pipelines, and virtual reality development. Despite advances in 3D deep l…
A Survey of Robotic Navigation and Manipulation with Physics Simulators in the Era of Embodied AI
Lik Hang Kenny Wong, Xueyang Kang, Kaixin Bai +1
Navigation and manipulation are core capabilities in Embodied AI, but training agents to perform them directly in the real world is costly, time-consuming, and unsafe. Therefore, s…
Adaptive Sampling-based Particle Filter for Visual-inertial Gimbal in the Wild
Xueyang Kang, Ariel Herrera, Henry Lema +2
In this paper, we present a Computer Vision (CV) based tracking and fusion algorithm, dedicated to a 3D printed gimbal system on drones operating in nature. The whole gimbal system…
Unsupervised Monocular Depth Prediction for Indoor Continuous Video Streams
Yinglong Feng, Shuncheng Wu, Okan Köpüklü +2
This paper studies unsupervised monocular depth prediction problem. Most of existing unsupervised depth prediction algorithms are developed for outdoor scenarios, while the depth p…
Robust Data Association for Object-level Semantic SLAM
Xueyang Kang, Shunying Yuan
Simultaneous mapping and localization (SLAM) in an real indoor environment is still a challenging task. Traditional SLAM approaches rely heavily on low-level geometric constraints…
3D Reconstruction & Assessment Framework based on affordable 2D Lidar
Xueyang Kang, Shengjiong Yin, Yinglong Fen
Lidar is extensively used in the industry and mass-market. Due to its measurement accuracy and insensitivity to illumination compared to cameras, It is applied onto a broad range o…