We think you have liked this presentation. If you wish to download it, please recommend it to your friends in any social system. Share buttons are a little bit lower. Thank you!
Presentation is loading. Please wait.
Published byHarley Patman
Modified about 1 year ago
THE POTHOLE PATROL Using a Mobile Sensor Network for Road Surface Monitoring Timothy Werner
Problem Potholes are everywhere Hard to find Car damage Lawsuits against the state Insurance claims
Test Deployment Attached to seven taxis in Boston for 10 days Covered nearly 2500 distinct kilometers Nearly 10000km total
Test Deployment - Accelerometer Placement Attached to car’s dashboard (glove compartment) Accurate Unobtrusive
Test Deployment – Training Data Trained for type of anomaly Crosswalks and Expansion Joint Railroad Crossing Pothole Manhole Stopping Turning
Pothole Detection Algorithm Speed High-pass z-peak xz-ratio Speed vs z ratio
Pothole Detection Algorithm Blacklisting Speed bumps Bridges Etc False Negatives – absence of reports does not mean a smooth road Drivers naturally try to avoid pot holes Roads are wide
Evaluation Tested on three data sets Carefully labeled data Loosely labeled data The taxis driving around Boston
Evaluation - Goals Detect a low number of anomalies on smooth roads Missing potholes is okay
Evaluation Classification accuracy on hand-labeled data Performance improvement using loosely labeled training data Performance on loosely labeled roads Spot-checks on uncontrolled data
Evaluation - Performance
Large Scale Water Conservation System for Multi-Unit Housing H 2 Opti ns.
Speed Limits 25 Speed Limits 35 Speed Limits 50 Speed Limits 55 Speed Limits 65.
Monitoring Fish Passage with an Automated Imaging System Steve R. Brink, Senior Fisheries Biologist Northwest Hydro Annual Meeting 2014, Seattle.
Applications of one-class classification -- searching for comparable applications for negative selection algorithms.
Deciding which statistical test to use:. Tests covered on this course: (a) Nonparametric tests: Frequency data - Chi-Square test of association between.
Challenges in Making Tomography Practical Yiyi Huang, Georgia Tech Nick Feamster, Georgia Tech Renata Teixeira, LIP6 Christophe Diot, Thomson.
Vehicle tracking system Know and control your fleet!
Context-aware battery management for mobile phones N. Ravi et al., Conf. on IEEE International Pervasive Computing and Communications,
How Long to Wait?: Predicting Bus Arrival Time with Mobile Phone based Participatory Sensing Pengfei Zhou, Yuanqing Zheng, Mo Li -twohsien
Planting Seed Money for Work Zone ITS Applications Mainstreaming IWZ Systems in MN Marvin L. Sohlo P.E., Work Zone Standards Engineer Minnesota Department.
Permission granted to reproduce for educational use only. 2 © Goodheart-Willcox Co., Inc. Chapter 13 Troubleshooting Techniques.
Chapter 6 Three Simple Classification Methods The Naïve Rule Naïve Bayes k-Nearest Neighbor 1.
Chapter Four Safe Driving Rules and Regulations. Speed Control: A.Speeding is a common cause of fatal accidents. B.Keep up with the flow of traffic at.
Lack of time. Lack of access to local clinical audit experts.
Start Game A PowerPoint Training Game Start Icebreaker.
Trisha Muñoz, E.I.T Civil Engineering Department Cal Poly Pomona.
Evaluating which classifiers work best for decoding neural data.
Diel Oxygen Analysis Tim Kratz, Laurence Choi, Barbara Benson, Yu Hen Hu University of Wisconsin-Madison Center for Limnology.
Computer Science CPSC 502 Lecture 15 Machine Learning: Intro and Supervised Classification.
Building Relationships. Creating Solutions. Delivering Results. Worldwide. Cost Effective Solutions for Todays Education Transportation Challenges.
2 Sample t Intervals and Tests The Size of Quail Eggs.
R O M D A S RO ad M easurement D ata A cquisition S ystem Manufactured by Data Collection Limited, New Zealand.
Decision Tree Evolution using Limited number of Labeled Data Items from Drifting Data Streams Wei Fan 1, Yi-an Huang 2, and Philip S. Yu 1 1 IBM T.J.Watson.
EET 419 Team 4. Problem correctly identifying the occupancy of a passenger bus and that the passengers remain safely seated throughout the extent of the.
Copyright © Siemens plc All rights reserved. Above ground SCOOT and MOVA detection in practice.
On the application of GP for software engineering predictive modeling: A systematic review Expert systems with Applications, Vol. 38 no. 9, 2011 Wasif.
Systematic Data Selection to Mine Concept Drifting Data Streams Wei Fan IBM T.J.Watson.
1 S.I.MO.NE. INNOVATIVE SYSTEM FOR METROPOLITAN AREA MOBILITY MANAGEMENT Fabrizio Arneodo R&D Program Manager 5T S.r.l. Torino, Italy 16° ITS World Congress.
© 2016 SlidePlayer.com Inc. All rights reserved.