A Unified Instance Segmentation Framework for Completely Occluded Objects and Dense Objects in Robot Vision Measurement

1 code implementation • 16 Jan 2024 • Zhen Zhou, Junfeng Fan, Yunkai Ma, Sihan Zhao, Fengshui Jing, Min Tan

In addition, since OBBs only serve as prompts, CFNet alleviates the over-dependence on bounding box detection performance of current instance segmentation methods using OBBs for dense objects.

Amodal Instance Segmentation Knowledge Distillation +3

Linear Gaussian Bounding Box Representation and Ring-Shaped Rotated Convolution for Oriented Object Detection

1 code implementation • 9 Nov 2023 • Zhen Zhou, Yunkai Ma, Junfeng Fan, Zhaoyang Liu, Fengshui Jing, Min Tan

We propose linear GBB (LGBB), a novel OBB representation.

object-detection Object Detection +1

RegHEC: Hand-Eye Calibration via Simultaneous Multi-view Point Clouds Registration of Arbitrary Object

1 code implementation • 27 Apr 2023 • Shiyu Xing, Fengshui Jing, Min Tan

RegHEC is a registration-based hand-eye calibration technique with no need for accurate calibration rig but arbitrary available objects, applicable for both eye-in-hand and eye-to-hand cases.

Bayesian Optimization Motion Estimation +2

RI-LIO: Reflectivity Image Assisted Tightly-Coupled LiDAR-Inertial Odometry

1 code implementation • IEEE ROBOTICS AND AUTOMATION LETTERS 2023 • Yanfeng Zhang, Yunong Tian, Wanguo Wang, Guodong Yang, Zhishuo Li, Fengshui Jing, Min Tan

The searched nearest neighbor point is used to render a sparse reflectivity image after LiDAR motion distortion information is given by its corresponding raw point.