activity
20102026
most citedTowards High-Performance Solid-State-LiDAR-Inertial Odometry and Mapping

290 citations · 681 across the 38 of their papers we have counts for

collaborators
Showing 2012Show all

6 papers · 1 filter

eess.SY2012★ 20 cited

The Kernel-SME Filter for Multiple Target Tracking

Marcus Baum, Uwe D. Hanebeck

We present a novel method called Kernel-SME filter for tracking multiple targets when the association of the measurements to the targets is unknown. The method is a further develop…

eess.SY2012

Optimal Sequence-Based Control and Estimation of Networked Linear Systems

Jörg Fischer, Marc Reinhardt, Uwe D. Hanebeck

In this paper, a unified approach to sequence-based control and estimation of linear networked systems with multiple sensors is proposed. Time delays and data losses in the control…

eess.SY2012★ 1 cited

Optimal Sequence-Based LQG Control over TCP-like Networks Subject to Random Transmission Delays and Packet Losses

Jörg Fischer, Achim Hekler, Maxim Dolgov +1

This paper addresses the problem of sequence-based controller design for Networked Control Systems (NCS), where control inputs and measurements are transmitted over TCP-like networ…

eess.SY2012

Sequence-Based Control for Networked Control Systems Based on Virtual Control Inputs

Achim Hekler, Jörg Fischer, Uwe D. Hanebeck

In this paper, we address the problem of controlling a system over an unreliable connection that is affected by time-varying delays and randomly occurring packet losses. A novel se…

eess.SY2012★ 2 cited

Progressive Gaussian Filtering

Uwe D. Hanebeck, Jannik Steinbring

In this paper, we propose a progressive Bayesian procedure, where the measurement information is continuously included into the given prior estimate (although we perform observatio…

eess.SY2012★ 94 cited

Robust Filtering and Smoothing with Gaussian Processes

Marc Peter Deisenroth, Ryan Turner, Marco F. Huber +2

We propose a principled algorithm for robust Bayesian filtering and smoothing in nonlinear stochastic dynamic systems when both the transition function and the measurement function…