452 citations · 1.8k across the 109 of their papers we have counts for
9 papers · 1 filter
Monocular and Stereo Cues for Landing Zone Evaluation for Micro UAVs
Rohit Garg, Shichao Yang, Sebastian Scherer
Autonomous and safe landing is important for unmanned aerial vehicles. We present a monocular and stereo image based method for fast and accurate landing zone evaluation for UAVs i…
Joint Point Cloud and Image Based Localization For Efficient Inspection in Mixed Reality
Manash Pratim Das, Zhen Dong, Sebastian Scherer
This paper introduces a method of structure inspection using mixed-reality headsets to reduce the human effort in reporting accurate inspection information such as fault locations…
A Unified 3D Mapping Framework using a 3D or 2D LiDAR
Weikun Zhen, Sebastian Scherer
Simultaneous Localization and Mapping (SLAM) has been considered as a solved problem thanks to the progress made in the past few years. However, the great majority of LiDAR-based S…
Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories
Yanfu Zhang, Wenshan Wang, Rogerio Bonatti +2
Predicting the motion of a mobile agent from a third-person perspective is an important component for many robotics applications, such as autonomous navigation and tracking. With a…
Open Problems in Robotic Anomaly Detection
Ritwik Gupta, Zachary T. Kurtz, Sebastian Scherer +1
Failures in robotics can have disastrous consequences that worsen rapidly over time. This, the ability to rely on robotic systems, depends on our ability to monitor them and interc…
Monocular Object and Plane SLAM in Structured Environments
Shichao Yang, Sebastian Scherer
In this paper, we present a monocular Simultaneous Localization and Mapping (SLAM) algorithm using high-level object and plane landmarks. The built map is denser, more compact and…