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Topic Area: Energy
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Displaying records 271 to 280 of 403 records.
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271. Towards an Approach for Knowledge-based Road Detection
Topic: Energy
Published: 6/26/2006
Authors: Mike Foedisch, M Lochner, D Teumim
Abstract: Our previous work on road detection suggests the usage of prior knowledge in order to improve performance. In this paper we will explain our motivation for a novel approach, define requirements and point out issues, particularly concerning the repres ...

272. Trajectory Generation for an On-Road Autonomous Vehicle
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7262
Topic: Energy
Published: 6/26/2006
Authors: John A Horst, Anthony J Barbera
Abstract: We describe an algorithm that generates a smooth trajectory (position, velocity, and acceleration) for a non-holonomic vehicle autonomously navigating within the constraints of lanes in a road. The technique models both vehicle paths and lane segment ...

273. Using 4D/RCS to Address AI Knowledge Integration
Topic: Energy
Published: 6/26/2006
Authors: Craig I Schlenoff, James S. Albus, Elena R Messina, Tony Barbera, Rajmohan Madhavan, Stephen B. Balakirsky
Abstract: In this paper, we show how 4D/RCS incorporates and integrates multiple types of disparate knowledge representation techniques into a common, unifying architecture. 4D/RCS is based on the supposition that different knowledge representation techniques ...

274. Validating Portability of Step-NC Tool Center Programming
Topic: Energy
Published: 6/26/2006
Authors: Sid Venkatesh, David Odendahl, Xun W. Xu, John L Michaloski, Frederick M Proctor, Thomas Rollin Kramer
Abstract: A joint effort between Boeing and the National Institute of Standards and Technology (NIST) was undertaken for validating and evaluating STEP AP238 (STEP-NC) Conformance Class 1 (CC1) for 5-axis machining. STEP-NC is a new manufacturing standard to s ...

275. Entity Knowledge Model Supporting Intelligent Systems
Topic: Energy
Published: 6/20/2006
Authors: Hui-Min Huang, James S. Albus, Elena R Messina, Harry A. Scott, Maris Juberts
Abstract: Intelligent systems operate in uncertain and complex environments. In order to achieve their goals, these systems require rich and updated knowledge about the environment and about their own capabilities to enable proper decision making processes. A ...

276. Intelligent Vehicle Systems: A 4D/RCS Approach
Topic: Energy
Published: 6/14/2006
Authors: Rajmohan Madhavan, Elena R Messina, James S. Albus
Abstract: See attached Preface.

277. Dynamic Simulation and Modeling of a Road Vehicle
Topic: Energy
Published: 2/2/2006
Author: Tsung-Ming Tsai
Abstract: Automated driving of road vehicles needs to use a simulation environment to develop control programs. A vehicle dynamic simulation program was implemented into a computer system. It contains a vehicle dynamic model that models all essential parts ...

278. Overview of the First Advanced Technology Evaluations for ASSIST
Topic: Energy
Published: 1/31/2006
Authors: Craig I Schlenoff, Brian A Weiss, Michelle Potts Steves, Ann M Virts, Michael O Shneier, Michael Linegang
Abstract: ASSIST (Advanced Soldier Sensor Information Systems Technology) is a DARPA-funded effort whose goal is to exploit soldier-worn sensors to augment the soldier s recall and reporting capability to enhance situation understanding. ASSIST is separated in ...

279. USARSim: Providing a Framework for Multi-Robot Performance Evaluation
Topic: Energy
Published: 1/31/2006
Authors: Stephen B. Balakirsky, Christopher J. Scrapper Jr, S Carpin, M L Lewis
Abstract: Research efforts in urban search and rescue robotics have grown substantially in recent years. Two important robotic competitions (a robot physical league and a high-level infrastructure simulation league) were established in 2001 under the RoboCup u ...

280. Recommended Objective Test Procedures for Road Departure Crash Warning Systems
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7288
Topic: Energy
Published: 1/6/2006
Authors: Sandor S. Szabo, Richard J Norcross
Abstract: Under the auspices of the Department of Transportation Intelligent Vehicle Initiative, the National Highway Traffic and Safety Administration (NHTSA) is evaluating the safety benefits of Road Departure Crash Warning Systems (RDCWS). These systems wa ...

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