19 citations · 40 across the 7 of their papers we have counts for
11 papers
From market-ready ROVs to low-cost AUVs
Jonatan Scharff Willners, Ignacio Carlucho, Tomasz Łuczyński +10
Autonomous Underwater Vehicles (AUVs) are becoming increasingly important for different types of industrial applications. The generally high cost of (AUVs) restricts the access to…
Underwater inspection and intervention dataset
Tomasz Luczynski, Jonatan Scharff Willners, Elizabeth Vargas +5
This paper presents a novel dataset for the development of visual navigation and simultaneous localisation and mapping (SLAM) algorithms as well as for underwater intervention task…
Radar SLAM: A Robust SLAM System for All Weather Conditions
Ziyang Hong, Yvan Petillot, Andrew Wallace +1
A Simultaneous Localization and Mapping (SLAM) system must be robust to support long-term mobile vehicle and robot applications. However, camera and LiDAR based SLAM systems can be…
Watch and Learn: Mapping Language and Noisy Real-world Videos with Self-supervision
Yujie Zhong, Linhai Xie, Sen Wang +2
In this paper, we teach machines to understand visuals and natural language by learning the mapping between sentences and noisy video snippets without explicit annotations. Firstly…
RADIATE: A Radar Dataset for Automotive Perception in Bad Weather
Marcel Sheeny, Emanuele De Pellegrin, Saptarshi Mukherjee +3
Datasets for autonomous cars are essential for the development and benchmarking of perception systems. However, most existing datasets are captured with camera and LiDAR sensors in…
Multi-Task Reinforcement Learning based Mobile Manipulation Control for Dynamic Object Tracking and Grasping
Cong Wang, Qifeng Zhang, Qiyan Tian +6
Agile control of mobile manipulator is challenging because of the high complexity coupled by the robotic system and the unstructured working environment. Tracking and grasping a dy…