397 citations · 707 across the 18 of their papers we have counts for
16 papers · 1 filter
Energy-based Legged Robots Terrain Traversability Modeling via Deep Inverse Reinforcement Learning
Lu Gan, Jessy W. Grizzle, Ryan M. Eustice +1
This work reports on developing a deep inverse reinforcement learning method for legged robots terrain traversability modeling that incorporates both exteroceptive and propriocepti…
Multitask Learning for Scalable and Dense Multilayer Bayesian Map Inference
Lu Gan, Youngji Kim, Jessy W. Grizzle +4
This article presents a novel and flexible multitask multilayer Bayesian mapping framework with readily extendable attribute layers. The proposed framework goes beyond modern metri…
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…
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…
Adaptive Continuous Visual Odometry from RGB-D Images
Tzu-Yuan Lin, William Clark, Ryan M. Eustice +3
In this paper, we extend the recently developed continuous visual odometry framework for RGB-D cameras to an adaptive framework via online hyperparameter learning. We focus on the…
Bayesian Spatial Kernel Smoothing for Scalable Dense Semantic Mapping
Lu Gan, Ray Zhang, Jessy W. Grizzle +2
This paper develops a Bayesian continuous 3D semantic occupancy map from noisy point clouds by generalizing the Bayesian kernel inference model for building occupancy maps, a binar…