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You searched for +publisher:"Penn State University" +contributor:("Sean N Brennan, Committee Chair/Co-Chair"). Showing records 1 – 8 of 8 total matches.

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Penn State University

1. Wolkowicz, Kelilah Louise. Preparing the Automated Future for Wheelchair Users Through Motion Prediction and User Input-Based Intent Inference.

Degree: 2018, Penn State University

 This dissertation focuses on developing algorithms, methods, and technologies to further enhance and promote wheelchair patient independence. The research is motivated by the limitations wheelchair… (more)

Subjects/Keywords: Autonomous vehicles; Band-pass filters; Bar codes; Biopotentials; Brain-computer interfaces; Computerized instrumentation; Data acquisition; Design automation; Detection algorithms; Discrete transforms; Electroencephalography; Electromyography; Electrooculography; Estimation theory; Gaze tracking; Human computer interaction; Embedded systems; Indoor localization; Input variables; Intelligent vehicles; Kalman filters; Linear discriminant analysis; Linear feedback control systems; Linear systems; Mechanical engineering; Mechanical Engineering; Mechanical systems; Microprogramming; Motion control; Odometry; Path planning; Pose estimation; Prediction algorithms; Probability; Probability distribution; Programming; Rehabilitation robotics; Research and development; Robot control; Robot kinematics; Robot motion; Robot programming; Robotic equipment testing; Simulation; Simultaneous localization and mapping; State estimation; State feedback; System implementation; System integration; System validation; User interfaces; Virtual reality; Wearable sensors; Biopotential signals; Human-computer interfaces; Decision-making; Intent inference; Slip detection; Motion prediction; Robotic wheelchair

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wolkowicz, K. L. (2018). Preparing the Automated Future for Wheelchair Users Through Motion Prediction and User Input-Based Intent Inference. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15887klw372

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wolkowicz, Kelilah Louise. “Preparing the Automated Future for Wheelchair Users Through Motion Prediction and User Input-Based Intent Inference.” 2018. Thesis, Penn State University. Accessed April 15, 2021. https://submit-etda.libraries.psu.edu/catalog/15887klw372.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wolkowicz, Kelilah Louise. “Preparing the Automated Future for Wheelchair Users Through Motion Prediction and User Input-Based Intent Inference.” 2018. Web. 15 Apr 2021.

Vancouver:

Wolkowicz KL. Preparing the Automated Future for Wheelchair Users Through Motion Prediction and User Input-Based Intent Inference. [Internet] [Thesis]. Penn State University; 2018. [cited 2021 Apr 15]. Available from: https://submit-etda.libraries.psu.edu/catalog/15887klw372.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wolkowicz KL. Preparing the Automated Future for Wheelchair Users Through Motion Prediction and User Input-Based Intent Inference. [Thesis]. Penn State University; 2018. Available from: https://submit-etda.libraries.psu.edu/catalog/15887klw372

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

2. Leary, Robert D. Map-based Vehicle State Estimation Using A Spatiotemporal Preview Filter.

Degree: 2019, Penn State University

 The primary focus of this work is to develop a vehicle state estimation algorithm using a-priori knowledge of the environment. Specifically, this work focuses on… (more)

Subjects/Keywords: autonomous; vehicle; localization; perception; camera; pose estimation; mapping; lidar; state estimation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Leary, R. D. (2019). Map-based Vehicle State Estimation Using A Spatiotemporal Preview Filter. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16436rdl5025

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Leary, Robert D. “Map-based Vehicle State Estimation Using A Spatiotemporal Preview Filter.” 2019. Thesis, Penn State University. Accessed April 15, 2021. https://submit-etda.libraries.psu.edu/catalog/16436rdl5025.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Leary, Robert D. “Map-based Vehicle State Estimation Using A Spatiotemporal Preview Filter.” 2019. Web. 15 Apr 2021.

Vancouver:

Leary RD. Map-based Vehicle State Estimation Using A Spatiotemporal Preview Filter. [Internet] [Thesis]. Penn State University; 2019. [cited 2021 Apr 15]. Available from: https://submit-etda.libraries.psu.edu/catalog/16436rdl5025.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Leary RD. Map-based Vehicle State Estimation Using A Spatiotemporal Preview Filter. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/16436rdl5025

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

3. Wahba, Mohamed. Factors affecting the repeatability of the fuel consumption of a heavy-duty truck on urban and highway roads.

Degree: 2019, Penn State University

 Trends in vehicle control show an increasing reliance on data aggregation and model-based predictive control to improve vehicle performance. The data and models that underly… (more)

Subjects/Keywords: V2I; Truck platoon

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wahba, M. (2019). Factors affecting the repeatability of the fuel consumption of a heavy-duty truck on urban and highway roads. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16464mhw128

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wahba, Mohamed. “Factors affecting the repeatability of the fuel consumption of a heavy-duty truck on urban and highway roads.” 2019. Thesis, Penn State University. Accessed April 15, 2021. https://submit-etda.libraries.psu.edu/catalog/16464mhw128.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wahba, Mohamed. “Factors affecting the repeatability of the fuel consumption of a heavy-duty truck on urban and highway roads.” 2019. Web. 15 Apr 2021.

Vancouver:

Wahba M. Factors affecting the repeatability of the fuel consumption of a heavy-duty truck on urban and highway roads. [Internet] [Thesis]. Penn State University; 2019. [cited 2021 Apr 15]. Available from: https://submit-etda.libraries.psu.edu/catalog/16464mhw128.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wahba M. Factors affecting the repeatability of the fuel consumption of a heavy-duty truck on urban and highway roads. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/16464mhw128

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

4. Vemulapalli, Pramod Krishna. Extrema Features for Global-localization and Pattern Matching of Time-series Data.

Degree: 2012, Penn State University

 This dissertation describes the use of extrema features for the purposes of localization and pattern matching in time-series data. One of the principle contributions of… (more)

Subjects/Keywords: extrema features; subsequence matching; time series features

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Vemulapalli, P. K. (2012). Extrema Features for Global-localization and Pattern Matching of Time-series Data. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15483

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Vemulapalli, Pramod Krishna. “Extrema Features for Global-localization and Pattern Matching of Time-series Data.” 2012. Thesis, Penn State University. Accessed April 15, 2021. https://submit-etda.libraries.psu.edu/catalog/15483.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Vemulapalli, Pramod Krishna. “Extrema Features for Global-localization and Pattern Matching of Time-series Data.” 2012. Web. 15 Apr 2021.

Vancouver:

Vemulapalli PK. Extrema Features for Global-localization and Pattern Matching of Time-series Data. [Internet] [Thesis]. Penn State University; 2012. [cited 2021 Apr 15]. Available from: https://submit-etda.libraries.psu.edu/catalog/15483.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vemulapalli PK. Extrema Features for Global-localization and Pattern Matching of Time-series Data. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/15483

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

5. Yu, Nan. Yaw-Control Enhancement for Buses by Active Front-Wheel Steering .

Degree: 2008, Penn State University

 The number of bus accidents is rather small in comparison with that of cars or trucks. However, bus accidents always attract high public attention due… (more)

Subjects/Keywords: Bus; Heavy Vehicle; Yaw Control; Front-Wheel Steering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yu, N. (2008). Yaw-Control Enhancement for Buses by Active Front-Wheel Steering . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/7486

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yu, Nan. “Yaw-Control Enhancement for Buses by Active Front-Wheel Steering .” 2008. Thesis, Penn State University. Accessed April 15, 2021. https://submit-etda.libraries.psu.edu/catalog/7486.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yu, Nan. “Yaw-Control Enhancement for Buses by Active Front-Wheel Steering .” 2008. Web. 15 Apr 2021.

Vancouver:

Yu N. Yaw-Control Enhancement for Buses by Active Front-Wheel Steering . [Internet] [Thesis]. Penn State University; 2008. [cited 2021 Apr 15]. Available from: https://submit-etda.libraries.psu.edu/catalog/7486.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yu N. Yaw-Control Enhancement for Buses by Active Front-Wheel Steering . [Thesis]. Penn State University; 2008. Available from: https://submit-etda.libraries.psu.edu/catalog/7486

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

6. Dean, Adam. Terrain-Based Road Vehicle Localization Using Attitude Measurements .

Degree: 2008, Penn State University

 This research is focused on developing a road vehicle localization technique that is independent of Global Positioning System (GPS) by means of a terrain-based method… (more)

Subjects/Keywords: vehicle; terrain-based; estimation; kalman filter; particle filter; localization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dean, A. (2008). Terrain-Based Road Vehicle Localization Using Attitude Measurements . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/8997

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Dean, Adam. “Terrain-Based Road Vehicle Localization Using Attitude Measurements .” 2008. Thesis, Penn State University. Accessed April 15, 2021. https://submit-etda.libraries.psu.edu/catalog/8997.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Dean, Adam. “Terrain-Based Road Vehicle Localization Using Attitude Measurements .” 2008. Web. 15 Apr 2021.

Vancouver:

Dean A. Terrain-Based Road Vehicle Localization Using Attitude Measurements . [Internet] [Thesis]. Penn State University; 2008. [cited 2021 Apr 15]. Available from: https://submit-etda.libraries.psu.edu/catalog/8997.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dean A. Terrain-Based Road Vehicle Localization Using Attitude Measurements . [Thesis]. Penn State University; 2008. Available from: https://submit-etda.libraries.psu.edu/catalog/8997

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

7. Gupta, Vishisht Vijay. Vehicle Localization Using Low-Accuracy GPS, IMU and Map-Aided Vision .

Degree: 2009, Penn State University

 This dissertation describes the development of vehicle state estimation methods using low-cost sensors, their implementation, and comparison with highly accurate vehicle state estimators available today.… (more)

Subjects/Keywords: GPS; Kalman Filter; IMU; Vehicle Localization; Terrain-Aided Vision; Map-Aided Vision

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Gupta, V. V. (2009). Vehicle Localization Using Low-Accuracy GPS, IMU and Map-Aided Vision . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/9573

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gupta, Vishisht Vijay. “Vehicle Localization Using Low-Accuracy GPS, IMU and Map-Aided Vision .” 2009. Thesis, Penn State University. Accessed April 15, 2021. https://submit-etda.libraries.psu.edu/catalog/9573.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gupta, Vishisht Vijay. “Vehicle Localization Using Low-Accuracy GPS, IMU and Map-Aided Vision .” 2009. Web. 15 Apr 2021.

Vancouver:

Gupta VV. Vehicle Localization Using Low-Accuracy GPS, IMU and Map-Aided Vision . [Internet] [Thesis]. Penn State University; 2009. [cited 2021 Apr 15]. Available from: https://submit-etda.libraries.psu.edu/catalog/9573.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gupta VV. Vehicle Localization Using Low-Accuracy GPS, IMU and Map-Aided Vision . [Thesis]. Penn State University; 2009. Available from: https://submit-etda.libraries.psu.edu/catalog/9573

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

8. Lapapong, Sittikorn. Vehicle Rollover Prediction for Banked Surfaces .

Degree: 2010, Penn State University

 Rollover accidents are one of the leading causes of death on the highway due to their very high fatality rate. A key challenge in preventing… (more)

Subjects/Keywords: Rollover Prediction; Vehicle Rollover; Vehicle Dynamics; Vehicle; Zero-Moment Point

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lapapong, S. (2010). Vehicle Rollover Prediction for Banked Surfaces . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/11452

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lapapong, Sittikorn. “Vehicle Rollover Prediction for Banked Surfaces .” 2010. Thesis, Penn State University. Accessed April 15, 2021. https://submit-etda.libraries.psu.edu/catalog/11452.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lapapong, Sittikorn. “Vehicle Rollover Prediction for Banked Surfaces .” 2010. Web. 15 Apr 2021.

Vancouver:

Lapapong S. Vehicle Rollover Prediction for Banked Surfaces . [Internet] [Thesis]. Penn State University; 2010. [cited 2021 Apr 15]. Available from: https://submit-etda.libraries.psu.edu/catalog/11452.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lapapong S. Vehicle Rollover Prediction for Banked Surfaces . [Thesis]. Penn State University; 2010. Available from: https://submit-etda.libraries.psu.edu/catalog/11452

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.