The auxiliary latitudes are essential tools in cartography. This paper summarizes methods for converting between them with an emphasis on providing full double-precision accuracy.
Computer vision publications
Sensor Control for Information Gain in Dynamic, Sparse and Partially Observed Environments
We present an approach for autonomous sensor control for information gathering under partially observable, dynamic and sparsely sampled environments.
Low-Power In-Pixel Computing with Current-Modulated Switched Capacitors
We present a scalable in-pixel processing architecture that can reduce the data throughput by 10X and consume less than 30 mW per megapixel at the imager frontend.
Unpacking Large Language Models with Conceptual Consistency
We propose conceptual consistency to measure a LLM’s understanding of relevant concepts. This novel metric measures how well a model can be characterized by finding out how consistent its responses to queries about conceptually relevant background knowledge are.
Sensor Trajectory Estimation by Triangulating Lidar Returns
The paper describes how to recover the sensor trajectory for an aerial lidar collect using the data for multiple-return lidar pulses.
Learning with Local Gradients at the Edge
To enable learning on edge devices with fast convergence and low memory, we present a novel backpropagation-free optimization algorithm dubbed Target Projection Stochastic Gradient Descent (tpSGD).
Geodesics on an Arbitrary Ellipsoid of Revolution
The present paper seeks to extend the treatment to arbitrary ellipsoid (in this paper, the term “ellipsoid” should be understood to mean “ellipsoid of revolution”).
Augmented Reality for Marine Fire Support Team Training
To provide FiSTs with the “sets and reps” required to develop and maintain proficiency, the Office of Naval Research 3D Warfighter Augmented Reality (3D WAR) program is developing an affordable augmented reality (AR) field simulator.
Towards Understanding Confusion and Affective States Under Communication Failures in Voice-Based Human-Machine Interaction
We present a series of two studies conducted to understand user’s affective states during voice-based human-machine interactions. Emphasis is placed on the cases of communication errors or failures.