activity
20172023
most citedCubeSLAM: Monocular 3D Object SLAM

452 citations · 1.8k across the 109 of their papers we have counts for

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Showing 2020Show all

11 papers · 1 filter

cs.RO2020★ 1 cited

TP-TIO: A Robust Thermal-Inertial Odometry with Deep ThermalPoint

Shibo Zhao, Peng Wang, Hengrui Zhang +2

To achieve robust motion estimation in visually degraded environments, thermal odometry has been an attraction in the robotics community. However, most thermal odometry methods are…

cs.CV2020★ 1 cited

ULSD: Unified Line Segment Detection across Pinhole, Fisheye, and Spherical Cameras

Hao Li, Huai Yu, Wen Yang +2

Line segment detection is essential for high-level tasks in computer vision and robotics. Currently, most stateof-the-art (SOTA) methods are dedicated to detecting straight line se…

cs.CV2020

Batteries, camera, action! Learning a semantic control space for expressive robot cinematography

Rogerio Bonatti, Arthur Bucker, Sebastian Scherer +2

Aerial vehicles are revolutionizing the way film-makers can capture shots of actors by composing novel aerial and dynamic viewpoints. However, despite great advancements in autonom…

cs.RO2020

Integration of Fully-Actuated Multirotors into Real-World Applications

Azarakhsh Keipour, Mohammadreza Mousaei, Andrew T Ashley +1

The introduction of fully-actuated multirotors has opened the door to new possibilities and more efficient solutions to many real-world applications. However, their integration had…

cs.RO2020

Do You See What I See? Coordinating Multiple Aerial Cameras for Robot Cinematography

Arthur Bucker, Rogerio Bonatti, Sebastian Scherer

Aerial cinematography is significantly expanding the capabilities of film-makers. Recent progress in autonomous unmanned aerial vehicles (UAVs) has further increased the potential…

cs.CV2020★ 6 cited

TartanVO: A Generalizable Learning-based VO

Wenshan Wang, Yaoyu Hu, Sebastian Scherer

We present the first learning-based visual odometry (VO) model, which generalizes to multiple datasets and real-world scenarios and outperforms geometry-based methods in challengin…