Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Guadagnino, Tiziano"'
Autor:
Guadagnino, Tiziano, Mersch, Benedikt, Vizzo, Ignacio, Gupta, Saurabh, Malladi, Meher V. R., Lobefaro, Luca, Doisy, Guillaume, Stachniss, Cyrill
LiDAR odometry is essential for many robotics applications, including 3D mapping, navigation, and simultaneous localization and mapping. LiDAR odometry systems are usually based on some form of point cloud registration to compute the ego-motion of a
Externí odkaz:
http://arxiv.org/abs/2410.10277
Autor:
Wu, Yibin, Guadagnino, Tiziano, Wiesmann, Louis, Klingbeil, Lasse, Stachniss, Cyrill, Kuhlmann, Heiner
Odometry estimation is crucial for every autonomous system requiring navigation in an unknown environment. In modern mobile robots, 3D LiDAR-inertial systems are often used for this task. By fusing LiDAR scans and IMU measurements, these systems can
Externí odkaz:
http://arxiv.org/abs/2311.09887
Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation
Autor:
Mersch, Benedikt, Guadagnino, Tiziano, Chen, Xieyuanli, Vizzo, Ignacio, Behley, Jens, Stachniss, Cyrill
Publikováno v:
IEEE Robotics and Automation Letters, vol. 8, no. 8, pp. 5180-5187, Aug. 2023
Mobile robots that navigate in unknown environments need to be constantly aware of the dynamic objects in their surroundings for mapping, localization, and planning. It is key to reason about moving objects in the current observation and at the same
Externí odkaz:
http://arxiv.org/abs/2307.08314
Autor:
Roggiolani, Gianmarco, Magistri, Federico, Guadagnino, Tiziano, Weyler, Jan, Grisetti, Giorgio, Stachniss, Cyrill, Behley, Jens
Agricultural robots have the prospect to enable more efficient and sustainable agricultural production of food, feed, and fiber. Perception of crops and weeds is a central component of agricultural robots that aim to monitor fields and assess the pla
Externí odkaz:
http://arxiv.org/abs/2303.12499
Autor:
Roggiolani, Gianmarco, Sodano, Matteo, Guadagnino, Tiziano, Magistri, Federico, Behley, Jens, Stachniss, Cyrill
Publikováno v:
ICRA 2023
Plant phenotyping is a central task in agriculture, as it describes plants' growth stage, development, and other relevant quantities. Robots can help automate this process by accurately estimating plant traits such as the number of leaves, leaf area,
Externí odkaz:
http://arxiv.org/abs/2210.07879
Autor:
Kuang, Haofei, Chen, Xieyuanli, Guadagnino, Tiziano, Zimmerman, Nicky, Behley, Jens, Stachniss, Cyrill
Determining the state of a mobile robot is an essential building block of robot navigation systems. In this paper, we address the problem of estimating the robots pose in an indoor environment using 2D LiDAR data and investigate how modern environmen
Externí odkaz:
http://arxiv.org/abs/2210.03113
Publikováno v:
ICRA 2023
Perception is crucial for robots that act in real-world environments, as autonomous systems need to see and understand the world around them to act properly. Panoptic segmentation provides an interpretation of the scene by computing a pixelwise seman
Externí odkaz:
http://arxiv.org/abs/2210.02834
Lifelong localization in a given map is an essential capability for autonomous service robots. In this paper, we consider the task of long-term localization in a changing indoor environment given sparse CAD floor plans. The commonly used pre-built ma
Externí odkaz:
http://arxiv.org/abs/2210.01456
Autor:
Vizzo, Ignacio, Guadagnino, Tiziano, Mersch, Benedikt, Wiesmann, Louis, Behley, Jens, Stachniss, Cyrill
Robust and accurate pose estimation of a robotic platform, so-called sensor-based odometry, is an essential part of many robotic applications. While many sensor odometry systems made progress by adding more complexity to the ego-motion estimation pro
Externí odkaz:
http://arxiv.org/abs/2209.15397
Publikováno v:
IEEE Robotics and Automation Letters (Volume: 8, Issue: 1, January 2023), pp. 432-439
Factor graphs are graphical models used to represent a wide variety of problems across robotics, such as Structure from Motion (SfM), Simultaneous Localization and Mapping (SLAM) and calibration. Typically, at their core, they have an optimization pr
Externí odkaz:
http://arxiv.org/abs/2208.06325