Learn More
Financial markets appear to improve the allocation of capital – across 65 countries, those with developed financial markets increase investment more in growing industries, and decrease investment more in declining industries, than financially undeveloped countries. The efficiency of capital allocation is also negatively correlated with the extent of state(More)
1 Problem Statement and Related Work RGB-D cameras are novel sensing systems that capture RGB images along with per-pixel depth information. RGB-D cameras rely on either structured light patterns combined with stereo sensing [6, 10] or time-of-flight laser sensing [1] to generate depth estimates that can be associated with RGB pixels. Very soon, small,(More)
RGB-D cameras provide both a color image and per-pixel depth estimates. The richness of their data and the recent development of low-cost sensors have combined to present an attractive opportunity for mobile robotics research. In this paper, we describe a system for visual odometry and mapping using an RGB-D camera, and its application to autonomous flight.(More)
We show that equity market liberalizations, on average, lead to a one percent increase in annual real economic growth over a five-year period. The effect is robust to alternative definitions of liberalization and does not reflect variation in the world business cycle. The effect also remains intact when an exogenous measure of growth opportunities is(More)
RGB-D cameras (such as the Microsoft Kinect) are novel sensing systems that capture RGB images along with per-pixel depth information. In this paper we investigate how such cameras can be used for building dense 3D maps of indoor environments. Such maps have applications in robot navigation, manipulation, semantic mapping, and telepresence. We present RGB-D(More)
for helpful advice concerning the planning and implementation of empirical research described here. We are also grateful to and Jojanneke van der Toorn for assistance at various stages with data collection, entry, or analysis. Finally, we credit Rod Kramer and Barry Staw with improving the chapter by providing characteristically insightful and constructive(More)
— The performance of indoor robots that stay in a single environment can be enhanced by gathering detailed knowledge of objects that frequently occur in that environment. We use an inexpensive sensor providing dense color and depth, and fuse information from multiple sensing modalities to detect changes between two 3-D maps. We adapt a recent SLAM technique(More)
Recent advances have allowed for the creation of dense, accurate 3D maps of indoor environments using RGB-D cameras. Some techniques are able to create large-scale maps, while others focus on accurate details using GPU-accelerated volumetric representations. In this work we describe patch volumes, a novel multiple-volume representation which enables the(More)
OBJECTIVE To evaluate the impact of low-threshold compression and hearing aid style (in-the-ear [ITE] versus behind-the-ear [BTE]) on the directional benefit and performance of commercially available directional hearing aids. DESIGN Forty-seven adult listeners with mild-to-moderate sensorineural hearing loss were fit bilaterally with one BTE and four(More)
— The goal of this research is to enable mobile robots to navigate through crowded environments such as indoor shopping malls, airports, or downtown side walks. The key research question addressed in this paper is how to learn planners that generate human-like motion behavior. Our approach uses inverse reinforcement learning (IRL) to learn human-like(More)