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Young-Woo Seo

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2010 – 2019

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2015
[j6]
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Young-Woo Seo, Myung Hwangbo:
A Computer Vision System for Lateral Localization. J. Field Robotics 32(7): 1004-1014 (2015)
[j5]
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Young-Woo Seo, Jongho Lee, Wende Zhang, David Wettergreen:
Recognition of Highway Workzones for Reliable Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 16(2): 708-718 (2015)
2014
[c22]
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Young-Woo Seo, Ragunathan Rajkumar:
Detection and tracking of boundary of unmarked roads. FUSION 2014: 1-6
[c21]
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  - conf/iccps/KimSKR14
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Junsung Kim, Young-Woo Seo, Hyoseung Kim, Ragunathan Rajkumar:
WiP abstract: Can cyber-physical systems be predictable? Inferring cyber-workloads from physical attributes. ICCPS 2014: 219
[c20]
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Hyunggi Cho, Young-Woo Seo, B. V. K. Vijaya Kumar, Ragunathan Rajkumar:
A multi-sensor fusion system for moving object detection and tracking in urban driving environments. ICRA 2014: 1836-1843
[c19]
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Young-Woo Seo, Ragunathan Rajkumar:
Tracking and estimation of ego-vehicle's state for lateral localization. ITSC 2014: 1251-1257
[c18]
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Young-Woo Seo, Ragunathan Rajkumar:
A vision system for detecting and tracking of stop-lines. ITSC 2014: 1970-1975
[c17]
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Young-Woo Seo, Ragunathan Rajkumar:
Utilizing instantaneous driving direction for enhancing lane-marking detection. Intelligent Vehicles Symposium 2014: 170-175
[c16]
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Young-Woo Seo, Junsung Kim, Ragunathan Rajkumar:
Predicting dynamic computational workload of a self-driving car. SMC 2014: 3030-3035
2013
[c15]
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Jongho Lee, Young-Woo Seo, David Wettergreen:
Kernel-based tracking for improving sign detection performance. IROS 2013: 4388-4393
[c14]
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Jongho Lee, Young-Woo Seo, Wende Zhang, David Wettergreen:
Kernel-based traffic sign tracking to improve highway workzone recognition for reliable autonomous driving. ITSC 2013: 1131-1136
2012
[b1]
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  - phd/us/Seo18
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Young-Woo Seo:
Augmenting Cartographic Resources and Assessing Roadway State for Vehicle Navigation. Carnegie Mellon University, USA, 2012
[c13]
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  - conf/gis/SeoUW12
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Young-Woo Seo, Chris Urmson, David Wettergreen:
Exploiting publicly available cartographic resources for aerial image analysis. SIGSPATIAL/GIS 2012: 109-118
[c12]
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Young-Woo Seo, Chris Urmson, David Wettergreen:
Ortho-image analysis for producing lane-level highway maps. SIGSPATIAL/GIS 2012: 506-509
[c11]
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Young-Woo Seo, David Wettergreen, Wende Zhang:
Recognizing temporary changes on highways for reliable autonomous driving. SMC 2012: 3027-3032
2010
[c10]
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Young-Woo Seo, Chris Urmson, David Wettergreen, Jin-Woo Lee:
Building lane-graphs for autonomous parking. IROS 2010: 6052-6057

2000 – 2009

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2009
[c9]
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  - conf/darpa/UrmsonABBBCDDGGGHHHKKLMMPPRRSSSSSWWZBBDLNSZSTDF09
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Chris Urmson, Joshua Anhalt, Drew Bagnell, Christopher R. Baker, Robert Bittner, M. N. Clark, John M. Dolan, Dave Duggins, Tugrul Galatali, Christopher Geyer, Michele Gittleman, Sam Harbaugh, Martial Hebert, Thomas M. Howard, Sascha Kolski, Alonzo Kelly, Maxim Likhachev, Matthew McNaughton, Nick Miller, Kevin M. Peterson, Brian Pilnick, Raj Rajkumar, Paul E. Rybski, Bryan Salesky, Young-Woo Seo, Sanjiv Singh, Jarrod M. Snider, Anthony Stentz, William Whittaker, Ziv Wolkowicki, Jason Ziglar, Hong Bae, Thomas Brown, Daniel Demitrish, Bakhtiar Litkouhi, Jim Nickolaou, Varsha Sadekar, Wende Zhang, Joshua Struble, Michael Taylor, Michael Darms, Dave Ferguson:
Autonomous Driving in Urban Environments: Boss and the Urban Challenge. The DARPA Urban Challenge 2009: 1-59
[c8]
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Young-Woo Seo, Chris Urmson, David Wettergreen, Jin-Woo Lee:
Augmenting cartographic resources for autonomous driving. GIS 2009: 13-22
[c7]
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Young-Woo Seo, Nathan D. Ratliff, Chris Urmson:
Self-Supervised Aerial Image Analysis for Extracting Parking Lot Structure. IJCAI 2009: 1837-1842
[c6]
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Young-Woo Seo, Chris Urmson:
Utilizing prior information to enhance self-supervised aerial image analysis for extracting parking lot structures. IROS 2009: 339-344
2008
[j4]
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Chris Urmson, Joshua Anhalt, Drew Bagnell, Christopher R. Baker, Robert Bittner, M. N. Clark, John M. Dolan, Dave Duggins, Tugrul Galatali, Christopher Geyer, Michele Gittleman, Sam Harbaugh, Martial Hebert, Thomas M. Howard, Sascha Kolski, Alonzo Kelly, Maxim Likhachev, Matthew McNaughton, Nick Miller, Kevin M. Peterson, Brian Pilnick, Raj Rajkumar, Paul E. Rybski, Bryan Salesky, Young-Woo Seo, Sanjiv Singh, Jarrod M. Snider, Anthony Stentz, William Whittaker, Ziv Wolkowicki, Jason Ziglar, Hong Bae, Thomas Brown, Daniel Demitrish, Bakhtiar Litkouhi, Jim Nickolaou, Varsha Sadekar, Wende Zhang, Joshua Struble, Michael Taylor, Michael Darms, Dave Ferguson:
Autonomous driving in urban environments: Boss and the Urban Challenge. J. Field Robotics 25(8): 425-466 (2008)
[c5]
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Young-Woo Seo, Chris Urmson:
A perception mechanism for supporting autonomous intersection handling in urban driving. IROS 2008: 1830-1835
2006
[c4]
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  - conf/isi/SeoS06
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Young-Woo Seo, Katia P. Sycara:
Cost-Sensitive Access Control for Illegitimate Confidential Access by Insiders. ISI 2006: 117-128
2005
[c3]
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  - conf/iat/SeoS05
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Young-Woo Seo, Katia P. Sycara:
Exploiting Multi-Agent Interactions for Identifying the Best-Payoff Information Source. IAT 2005: 344-350
2004
[j3]
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  - journals/simulation/GiampapaSOGSYGL04
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Joseph Andrew Giampapa, Katia P. Sycara, Sean Owens, Robin Glinton, Young-Woo Seo, Bin Yu, Charles E. Grindle, Michael Lewis:
Extending the ONESAF Testbed into a C4ISR Testbed. Simul. 80(12): 681-691 (2004)
2001
[j2]
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  - journals/aai/ZhangS01
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Byoung-Tak Zhang, Young-Woo Seo:
Personalized Web-Document Filtering Using Reinforcement Learning. Appl. Artif. Intell. 15(6): 665-685 (2001)
[j1]
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Byoung-Tak Zhang, Young-Woo Seo:
Personalized Web-Document Filtering Using Reinforcement Learning. Appl. Artif. Intell. 15(7): 665-685 (2001)
2000
[c2]
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  - conf/agents/SeoZ00
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Young-Woo Seo, Byoung-Tak Zhang:
Learning user's preferences by analyzing Web-browsing behaviors. Agents 2000: 381-387
[c1]
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  - conf/iui/SeoZ00
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Young-Woo Seo, Byoung-Tak Zhang:
A reinforcement learning agent for personalized information filtering. IUI 2000: 248-251

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