Year 2015 Transportation Plan. HATS (Huntsville Area Transportation Study)
WORLD, A Subroutine for Digital Plotting of Continental Outlines and Geographical Data
Working Group for Planetary System Nomenclature
Western Indian Ocean (Map No. 800158) and Israeli Settlements in the Gaza Strip (Map No. 800250)
Wear of conductors in railguns: metallurgical aspects
Wayfinding by Means of Maps in Real-world Settings: A Critical Review
ViMantic, a distributed robotic architecture for semantic mapping in indoor environments
VERDICT-a plan for gravity compensation of inertial navigation systems
Vehicle Detection in Aerial Images Based on 3D Depth Maps and Deep Neural Networks
Validation Methods for Digital Road Maps in Predictive Control
US Navy Coastal Surge and Inundation Prediction System (CSIPS): Making Forecasts Easier
Using DORIS data for validating real-time GNSS ionosphere maps
U.S. Business Travel: Findings from the National Household Travel Survey
Up-to-Date City Maps for Modeling, Planning, and Assistive Technologies
Unstructured road detection via combining the model‐based and feature‐based methods
Unstructured road detection via combining the model-based and feature-based methods
Unified Lambert Tool for Massively Parallel Applications in Space Situational Awareness
Unified Lambert Tool for Massively Parallel Applications in Space Situational Awareness
Ulster County Transportation Study: Inventory and Analysis of Highways and Traffic Generators
Turn-by-Turn Displays versus Electronic Maps: An On-the-Road Comparison of Driver Glance Behavior
Tsuki Shuukai Kansoku Eisei (Moon Revolving Observation Satellites)
Travel time unreliability on freeways: Why measures based on variance tell only half the story
Transportation Metropolitan Atlanta Performance (MAP) Report, 2004
Transportable Manned and Robotic Digital Geophysical Mapping Tow Vehicle, Phase 1
Trajectory evolution in the multi-body problem with applications in the Saturnian system
Traffic light control using deep policy-gradient and value-function-based reinforcement learning
Traffic light control using deep policy‐gradient and value‐function‐based reinforcement learning