activity
20162023
most citedHybrid Contact Preintegration for Visual-Inertial-Contact State Estimation Using Factor Graphs

56 citations · 149 across the 12 of their papers we have counts for

collaborators

12 papers

cs.CV2023★ 1 cited

4D Panoptic Segmentation as Invariant and Equivariant Field Prediction

Minghan Zhu, Shizhong Han, Hong Cai +3

In this paper, we develop rotation-equivariant neural networks for 4D panoptic segmentation. 4D panoptic segmentation is a benchmark task for autonomous driving that requires recog…

cs.RO2020★ 8 cited

Global Unifying Intrinsic Calibration for Spinning and Solid-State LiDARs

Jiunn-Kai Huang, Chenxi Feng, Madhav Achar +2

Sensor calibration, which can be intrinsic or extrinsic, is an essential step to achieve the measurement accuracy required for modern perception and navigation systems deployed on…

cs.RO2020

A Path-Dependent Variational Framework for Incremental Information Gathering

William Clark, Maani Ghaffari

Information gathered along a path is inherently submodular; the incremental amount of information gained along a path decreases due to redundant observations. In addition to submod…

cs.CV2020★ 1 cited

Monocular Depth Prediction through Continuous 3D Loss

Minghan Zhu, Maani Ghaffari, Yuanxin Zhong +4

This paper reports a new continuous 3D loss function for learning depth from monocular images. The dense depth prediction from a monocular image is supervised using sparse LIDAR po…

cs.RO2020★ 2 cited

DeepLocNet: Deep Observation Classification and Ranging Bias Regression for Radio Positioning Systems

Sahib Singh Dhanjal, Maani Ghaffari, Ryan M. Eustice

WiFi technology has been used pervasively in fine-grained indoor localization, gesture recognition, and adaptive communication. Achieving better performance in these tasks generall…

cs.RO2019★ 2 cited

A Keyframe-based Continuous Visual SLAM for RGB-D Cameras via Nonparametric Joint Geometric and Appearance Representation

Xi Lin, Dingyi Sun, Tzu-Yuan Lin +2

This paper reports on a robust RGB-D SLAM system that performs well in scarcely textured and structured environments. We present a novel keyframe-based continuous visual odometry t…