Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Xieyuanli Chen"'
Publikováno v:
Remote Sensing, Vol 15, Iss 18, p 4433 (2023)
Robust environmental sensing and accurate object detection are crucial in enabling autonomous driving in urban environments. To achieve this goal, autonomous mobile systems commonly integrate multiple sensor modalities onboard, aiming to enhance accu
Externí odkaz:
https://doaj.org/article/d0dda22ac09e48bd95362ce8205b36c3
Publikováno v:
Remote Sensing, Vol 15, Iss 18, p 4616 (2023)
Tracked robots equipped with flippers and LiDAR sensors have been widely used in urban search and rescue. Achieving autonomous flipper control is important in enhancing the intelligent operation of tracked robots within complex urban rescuing environ
Externí odkaz:
https://doaj.org/article/82314d9949e846a38274191a345d0b3e
Publikováno v:
Remote Sensing, Vol 15, Iss 16, p 4040 (2023)
Solid-state LiDAR offers multiple advantages over mechanism mechanical LiDAR, including higher durability, improved coverage ratio, and lower prices. However, solid-state LiDARs typically possess a narrow field of view, making them less suitable for
Externí odkaz:
https://doaj.org/article/7ce383839b514c13b69c2e2a2aa93e39
Autor:
Wenbang Deng, Kaihong Huang, Xieyuanli Chen, Zhiqian Zhou, Chenghao Shi, Ruibin Guo, Hui Zhang
Publikováno v:
IEEE Access, Vol 8, Pp 221320-221329 (2020)
In this paper, we propose a semantic simultaneous localization and mapping (SLAM) framework for rescue robots, and report its use in navigation tasks. Our framework can generate not only geometric maps in the form of dense point-clouds but also corre
Externí odkaz:
https://doaj.org/article/bed467b21d23455aac1a3a442d726515
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 15 (2018)
In this article, we propose a distributed and collaborative monocular simultaneous localization and mapping system for the multi-robot system in large-scale environments, where monocular vision is the only exteroceptive sensor. Each robot estimates i
Externí odkaz:
https://doaj.org/article/c41e92653b43451fb338a89b30cc0cf9
Publikováno v:
International Journal of Computer Vision. 131:1550-1565
Publikováno v:
IEEE Robotics and Automation Letters. 8:176-183
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
Publikováno v:
IEEE Robotics and Automation Letters. 7:6958-6965
Place recognition is an important capability for autonomously navigating vehicles operating in complex environments and under changing conditions. It is a key component for tasks such as loop closing in SLAM or global localization. In this paper, we
Autor:
Xieyuanli Chen, Benedikt Mersch, Lucas Nunes, Rodrigo Marcuzzi, Ignacio Vizzo, Jens Behley, Cyrill Stachniss
Publikováno v:
IEEE Robotics and Automation Letters. 7:6107-6114
Understanding the scene is key for autonomously navigating vehicles and the ability to segment the surroundings online into moving and non-moving objects is a central ingredient for this task. Often, deep learning-based methods are used to perform mo
Autor:
Tiziano Guadagnino, Xieyuanli Chen, Matteo Sodano, Jens Behley, Giorgio Grisetti, Cyrill Stachniss
Publikováno v:
IEEE Robotics and Automation Letters. 7:7597-7604