Event-based sensors have recently drawn increasing interest in robotic
p...
This paper describes a novel approach to deducing relationships between
...
Traditional approaches for active mapping focus on building geometric ma...
In this paper, we describe Direct Sparse Odometry Lite (DSOL), an improv...
In this paper, we present a low-latency odometry system designed for spi...
In this letter, we propose an integrated autonomous flight and semantic ...
In this work we investigate the problem of uncertainty estimation for
im...
Scalability is a critical problem in generating training images for deep...
In this paper we consider the task of image-guided depth completion wher...
In this work we propose long wave infrared (LWIR) imagery as a viable
su...
We address the localization of robots in a multi-MAV system where extern...
Real-time image semantic segmentation is an essential capability to enha...
Depth estimation is an important capability for autonomous vehicles to
u...
In this paper we propose a convolutional neural network that is designed...
This paper describes an approach to automatically extracting floor plans...
We present a cheap, lightweight, and fast fruit counting pipeline that u...
We present an approach to depth estimation that fuses information from a...
In this paper we describe the Open Vision Computer (OVC) which was desig...
Periodical inspection and maintenance of critical infrastructure such as...
In this paper, we will demonstrate how Manhattan structure can be exploi...
We present a novel fruit counting pipeline that combines deep segmentati...
In recent years, vision-aided inertial odometry for state estimation has...
This paper develops an unsupervised learning algorithm that trains a Dee...
We present a family of online algorithms for real-time factorization-bas...