Zobrazeno 1 - 10
of 104
pro vyhledávání: '"Behley, Jens"'
Autor:
Sivakumar, Arun N., Magistri, Federico, Gasparino, Mateus V., Behley, Jens, Stachniss, Cyrill, Chowdhary, Girish
Under-canopy agricultural robots can enable various applications like precise monitoring, spraying, weeding, and plant manipulation tasks throughout the growing season. Autonomous navigation under the canopy is challenging due to the degradation in a
Externí odkaz:
http://arxiv.org/abs/2410.12411
Moving object segmentation (MOS) using a 3D light detection and ranging (LiDAR) sensor is crucial for scene understanding and identification of moving objects. Despite the availability of various types of 3D LiDAR sensors in the market, MOS research
Externí odkaz:
http://arxiv.org/abs/2408.06328
Autor:
Magistri, Federico, Läbe, Thomas, Marks, Elias, Nagulavancha, Sumanth, Pan, Yue, Smitt, Claus, Klingbeil, Lasse, Halstead, Michael, Kuhlmann, Heiner, McCool, Chris, Behley, Jens, Stachniss, Cyrill
As the world population is expected to reach 10 billion by 2050, our agricultural production system needs to double its productivity despite a decline of human workforce in the agricultural sector. Autonomous robotic systems are one promising pathway
Externí odkaz:
http://arxiv.org/abs/2407.13304
Building accurate maps is a key building block to enable reliable localization, planning, and navigation of autonomous vehicles. We propose a novel approach for building accurate maps of dynamic environments utilizing a sequence of LiDAR scans. To th
Externí odkaz:
http://arxiv.org/abs/2405.03388
Computer vision techniques play a central role in the perception stack of autonomous vehicles. Such methods are employed to perceive the vehicle surroundings given sensor data. 3D LiDAR sensors are commonly used to collect sparse 3D point clouds from
Externí odkaz:
http://arxiv.org/abs/2403.13470
Interpreting camera data is key for autonomously acting systems, such as autonomous vehicles. Vision systems that operate in real-world environments must be able to understand their surroundings and need the ability to deal with novel situations. Thi
Externí odkaz:
http://arxiv.org/abs/2403.07532
Autor:
Pan, Yue, Zhong, Xingguang, Wiesmann, Louis, Posewsky, Thorbjörn, Behley, Jens, Stachniss, Cyrill
Accurate and robust localization and mapping are essential components for most autonomous robots. In this paper, we propose a SLAM system for building globally consistent maps, called PIN-SLAM, that is based on an elastic and compact point-based impl
Externí odkaz:
http://arxiv.org/abs/2401.09101
Agricultural production is facing severe challenges in the next decades induced by climate change and the need for sustainability, reducing its impact on the environment. Advancements in field management through non-chemical weeding by robots in comb
Externí odkaz:
http://arxiv.org/abs/2312.14706
Autor:
Zeller, Matthias, Sandhu, Vardeep S., Mersch, Benedikt, Behley, Jens, Heidingsfeld, Michael, Stachniss, Cyrill
The perception of moving objects is crucial for autonomous robots performing collision avoidance in dynamic environments. LiDARs and cameras tremendously enhance scene interpretation but do not provide direct motion information and face limitations u
Externí odkaz:
http://arxiv.org/abs/2309.16435
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