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20182022
most citedRadar SLAM: A Robust SLAM System for All Weather Conditions

19 citations · 40 across the 7 of their papers we have counts for

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cs.CV20213 cited

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…

cs.CV2020

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…

cs.CV2020

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…

cs.CV2020

A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification

Mateusz Ochal, Jose Vazquez, Yvan Petillot +1

Deep convolutional neural networks generally perform well in underwater object recognition tasks on both optical and sonar images. Many such methods require hundreds, if not thousa…

cs.CV2019

300 GHz Radar Object Recognition based on Deep Neural Networks and Transfer Learning

Marcel Sheeny, Andrew Wallace, Sen Wang

For high resolution scene mapping and object recognition, optical technologies such as cameras and LiDAR are the sensors of choice. However, for robust future vehicle autonomy and…

cs.CV2018

Deep Reinforcement Learning for Autonomous Driving

Sen Wang, Daoyuan Jia, Xinshuo Weng

Reinforcement learning has steadily improved and outperform human in lots of traditional games since the resurgence of deep neural network. However, these success is not easy to be…