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20172026
most citedTrashCan: A Semantically-Segmented Dataset towards Visual Detection of Marine Debris

59 citations · 88 across the 21 of their papers we have counts for

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Showing 2018Show all

9 papers · 1 filter

cs.CV2018

DSVO: Direct Stereo Visual Odometry

Jiawei Mo, Junaed Sattar

This paper proposes a novel approach to stereo visual odometry without stereo matching. It is particularly robust in scenes of repetitive high-frequency textures. Referred to as DS…

cs.RO2018

Robot Communication Via Motion: Closing the Underwater Human-Robot Interaction Loop

Michael Fulton, Chelsey Edge, Junaed Sattar

In this paper, we propose a novel method for underwater robot-to-human communication using the motion of the robot as "body language". To evaluate this system, we develop simulated…

cs.CV2018

Visual Diver Recognition for Underwater Human-Robot Collaboration

Youya Xia, Junaed Sattar

This paper presents an approach for autonomous underwater robots to visually detect and identify divers. The proposed approach enables an autonomous underwater robot to detect mult…

cs.RO2018

Towards a Generic Diver-Following Algorithm: Balancing Robustness and Efficiency in Deep Visual Detection

Md Jahidul Islam, Michael Fulton, Junaed Sattar

This paper explores the design and development of a class of robust diver-following algorithms for autonomous underwater robots. By considering the operational challenges for under…

cs.RO2018

An Evaluation of Bayesian Methods for Bathymetry-based Localization of Autonomous Underwater Robots

Jungseok Hong, Michael Fulton, Junaed Sattar

This paper presents an evaluation of a number of probabilistic algorithms for localization of autonomous underwater vehicles (AUVs) using bathymetry data. The algorithms, based on…

cs.CV2018

SafeDrive: Enhancing Lane Appearance for Autonomous and Assisted Driving Under Limited Visibility

Jiawei Mo, Junaed Sattar

Autonomous detection of lane markers improves road safety, and purely visual tracking is desirable for widespread vehicle compatibility and reducing sensor intrusion, cost, and ene…