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20172023
most citedA Robust Laser-Inertial Odometry and Mapping Method for Large-Scale Highway Environments

97 citations · 729 across the 83 of their papers we have counts for

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Showing 2020 · cs.ROShow all

5 papers · 2 filters

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.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.RO2020★ 97 cited

A Robust Laser-Inertial Odometry and Mapping Method for Large-Scale Highway Environments

Shibo Zhao, Zheng Fang, HaoLai Li +1

In this paper, we propose a novel laser-inertial odometry and mapping method to achieve real-time, low-drift and robust pose estimation in large-scale highway environments. The pro…

cs.RO2020

TartanAir: A Dataset to Push the Limits of Visual SLAM

Wenshan Wang, Delong Zhu, Xiangwei Wang +6

We present a challenging dataset, the TartanAir, for robot navigation tasks and more. The data is collected in photo-realistic simulation environments with the presence of moving o…