activity
20162026
most citedVoxblox: Incremental 3D Euclidean Signed Distance Fields for On-Board MAV Planning

652 citations · 7k across the 163 of their papers we have counts for

collaborators
Showing 2017Show all

20 papers · 1 filter

stat.CO2017★ 24 cited

Directional Statistics and Filtering Using libDirectional

Gerhard Kurz, Igor Gilitschenski, Florian Pfaff +4

In this paper, we present libDirectional, a MATLAB library for directional statistics and directional estimation. It supports a variety of commonly used distributions on the unit c…

cs.RO2017★ 12 cited

Towards Fully Environment-Aware UAVs: Real-Time Path Planning with Online 3D Wind Field Prediction in Complex Terrain

Philipp Oettershagen, Florian Achermann, Benjamin Müller +2

Today, low-altitude fixed-wing Unmanned Aerial Vehicles (UAVs) are largely limited to primitively follow user-defined waypoints. To allow fully-autonomous remote missions in comple…

cs.RO2017

Flexible Stereo: Constrained, Non-rigid, Wide-baseline Stereo Vision for Fixed-wing Aerial Platforms

Timo Hinzmann, Tim Taubner, Roland Siegwart

This paper proposes a computationally efficient method to estimate the time-varying relative pose between two visual-inertial sensor rigs mounted on the flexible wings of a fixed-w…

cs.RO2017★ 2 cited

Meteorology-Aware Multi-Goal Path Planning for Large-Scale Inspection Missions with Long-Endurance Solar-Powered Aircraft

Philipp Oettershagen, Julian Förster, Lukas Wirth +2

Solar-powered aircraft promise significantly increased flight endurance over conventional aircraft. While this makes them promising candidates for large-scale aerial inspection mis…

cs.RO2017★ 281 cited

maplab: An Open Framework for Research in Visual-inertial Mapping and Localization

Thomas Schneider, Marcin Dymczyk, Marius Fehr +4

Robust and accurate visual-inertial estimation is crucial to many of today's challenges in robotics. Being able to localize against a prior map and obtain accurate and driftfree po…

cs.RO2017★ 10 cited

Robust Collaborative Object Transportation Using Multiple MAVs

Andrea Tagliabue, Mina Kamel, Roland Siegwart +1

Collaborative object transportation using multiple Micro Aerial Vehicles (MAVs) with limited communication is a challenging problem. In this paper we address the problem of multipl…

cs.RO2017★ 9 cited

Autonomous Electric Race Car Design

Niklas Funk, Nikhilesh Alatur, Robin Deuber +12

Autonomous driving and electric vehicles are nowadays very active research and development areas. In this paper we present the conversion of a standard Kyburz eRod into an autonomo…

cs.RO2017

3D Registration of Aerial and Ground Robots for Disaster Response: An Evaluation of Features, Descriptors, and Transformation Estimation

Abel Gawel, Renaud Dubé, Hartmut Surmann +3

Global registration of heterogeneous ground and aerial mapping data is a challenging task. This is especially difficult in disaster response scenarios when we have no prior informa…

cs.RO2017★ 7 cited

The ETH-MAV Team in the MBZ International Robotics Challenge

Rik Bähnemann, Michael Pantic, Marija Popović +7

This article describes the hardware and software systems of the Micro Aerial Vehicle (MAV) platforms used by the ETH Zurich team in the 2017 Mohamed Bin Zayed International Robotic…

cs.RO2017★ 1 cited

C-blox: A Scalable and Consistent TSDF-based Dense Mapping Approach

Alexander Millane, Zachary Taylor, Helen Oleynikova +3

In many applications, maintaining a consistent dense map of the environment is key to enabling robotic platforms to perform higher level decision making. Several works have address…

cs.RO2017★ 97 cited

Safe Local Exploration for Replanning in Cluttered Unknown Environments for Micro-Aerial Vehicles

Helen Oleynikova, Zachary Taylor, Roland Siegwart +1

In order to enable Micro-Aerial Vehicles (MAVs) to assist in complex, unknown, unstructured environments, they must be able to navigate with guaranteed safety, even when faced with…

cs.CV2017★ 1 cited

weedNet: Dense Semantic Weed Classification Using Multispectral Images and MAV for Smart Farming

Inkyu Sa, Zetao Chen, Marija Popovic +4

Selective weed treatment is a critical step in autonomous crop management as related to crop health and yield. However, a key challenge is reliable, and accurate weed detection to…

cs.RO2017

X-View: Graph-Based Semantic Multi-View Localization

Abel Gawel, Carlo Del Don, Roland Siegwart +2

Global registration of multi-view robot data is a challenging task. Appearance-based global localization approaches often fail under drastic view-point changes, as representations…

cs.RO2017★ 20 cited

Visual-inertial self-calibration on informative motion segments

Thomas Schneider, Mingyang Li, Michael Burri +3

Environmental conditions and external effects, such as shocks, have a significant impact on the calibration parameters of visual-inertial sensor systems. Thus long-term operation o…

cs.RO2017★ 37 cited

Build Your Own Visual-Inertial Drone: A Cost-Effective and Open-Source Autonomous Drone

Inkyu Sa, Mina Kamel, Michael Burri +5

This paper describes an approach to building a cost-effective and research grade visual-inertial odometry aided vertical taking-off and landing (VTOL) platform. We utilize an off-t…

cs.RO2017★ 533 cited

Control of a Quadrotor with Reinforcement Learning

Jemin Hwangbo, Inkyu Sa, Roland Siegwart +1

In this paper, we present a method to control a quadrotor with a neural network trained using reinforcement learning techniques. With reinforcement learning, a common network can b…

cs.RO2017★ 58 cited

A Decentralized Multi-Agent Unmanned Aerial System to Search, Pick Up, and Relocate Objects

Rik Bähnemann, Dominik Schindler, Mina Kamel +2

We present a fully integrated autonomous multi- robot aerial system for finding and collecting moving and static objects with unknown locations. This task addresses multiple releva…

cs.RO2017★ 4 cited

Multiresolution Mapping and Informative Path Planning for UAV-based Terrain Monitoring

Marija Popovic, Teresa Vidal-Calleja, Gregory Hitz +3

Unmanned aerial vehicles (UAVs) can offer timely and cost-effective delivery of high-quality sensing data. How- ever, deciding when and where to take measurements in complex enviro…

cs.RO2017★ 12 cited

Nonlinear Model Predictive Control for Multi-Micro Aerial Vehicle Robust Collision Avoidance

Mina Kamel, Javier Alonso-Mora, Roland Siegwart +1

Multiple multirotor Micro Aerial Vehicles sharing the same airspace require a reliable and robust collision avoidance technique. In this paper we address the problem of multi-MAV r…

cs.RO2017★ 9 cited

Dynamic System Identification, and Control for a cost effective open-source VTOL MAV

Inkyu Sa, Mina Kamel, Raghav Khanna +3

This paper describes dynamic system identification, and full control of a cost-effective vertical take-off and landing (VTOL) multi-rotor micro-aerial vehicle (MAV) --- DJI Matrice…