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Pujitha Gunaratne
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Publications
- 2023
- [j6]Kojo Konadu Adu-Gyamfi, Karo Ahmadi-Dehrashid, Yaw Okyere Adu-Gyamfi, Pujitha Gunaratne, Anuj Sharma:
MobiScout: A scalable cloud-based driving and activity monitoring platform featuring an IOS app and a WatchOS extension. SoftwareX 24: 101588 (2023) - [c14]Aparna Joshi, Jennifer Merickel, Cyrus V. Desouza, Matthew Rizzo, Pujitha Gunaratne, Anuj Sharma:
Investigating Speed Deviation Patterns During Glucose Episodes: A Quantile Regression Approach. ITSC 2023: 5750-5755 - [i6]Ross Greer, Nachiket Deo, Akshay Rangesh, Pujitha Gunaratne, Mohan M. Trivedi:
Safe Control Transitions: Machine Vision Based Observable Readiness Index and Data-Driven Takeover Time Prediction. CoRR abs/2301.05805 (2023) - [i5]Kojo Konadu Adu-Gyamfi, Karo Ahmadi-Dehrashid, Yaw Okyere Adu-Gyamfi, Pujitha Gunaratne, Anuj Sharma:
MobiScout: A Scalable Cloud-Based Driving and Activity Monitoring Platform Featuring an IOS App and a WatchOS Extension. CoRR abs/2308.05698 (2023) - [i4]Aparna Joshi, Jennifer Merickel, Cyrus V. Desouza, Matthew Rizzo, Pujitha Gunaratne, Anuj Sharma:
Investigating Speed Deviation Patterns During Glucose Episodes: A Quantile Regression Approach. CoRR abs/2310.02351 (2023) - 2021
- [j4]Azadeh DinparastDjadid, John D. Lee, Joshua E. Domeyer, Chris Schwarz, Timothy L. Brown, Pujitha Gunaratne:
Designing for the Extremes: Modeling Drivers' Response Time to Take Back Control From Automation Using Bayesian Quantile Regression. Hum. Factors 63(3) (2021) - [c13]Akshay Rangesh, Nachiket Deo, Ross Greer, Pujitha Gunaratne, Mohan M. Trivedi:
Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data. ITSC 2021: 231-236 - [i3]Akshay Rangesh, Nachiket Deo, Ross Greer, Pujitha Gunaratne, Mohan M. Trivedi:
Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data. CoRR abs/2104.11489 (2021) - [i2]Akshay Rangesh, Nachiket Deo, Ross Greer, Pujitha Gunaratne, Mohan M. Trivedi:
Predicting Take-over Time for Autonomous Driving with Real-World Data: Robust Data Augmentation, Models, and Evaluation. CoRR abs/2107.12932 (2021) - 2018
- [j2]Pujitha Gunaratne, Kazuya Takeda:
ITSS Technical Activities Spotlight: Getting to Know the Naturalistic Driving Data Analytics Technical Committee [Technical Activities]. IEEE Intell. Transp. Syst. Mag. 10(1): 167 (2018) - [c9]Akshay Rangesh, Nachiket Deo, Kevan Yuen, Kirill Pirozhenko, Pujitha Gunaratne, Heishiro Toyoda, Mohan M. Trivedi:
Exploring the Situational Awareness of Humans inside Autonomous Vehicles. ITSC 2018: 190-197 - 2017
- [i1]Akshay Rangesh, Kevan Yuen, Ravi Kumar Satzoda, Rakesh Nattoji Rajaram, Pujitha Gunaratne, Mohan M. Trivedi:
A Multimodal, Full-Surround Vehicular Testbed for Naturalistic Studies and Benchmarking: Design, Calibration and Deployment. CoRR abs/1709.07502 (2017) - 2015
- [c8]Ravi Kumar Satzoda, Pujitha Gunaratne, Mohan M. Trivedi:
Drive quality analysis of lane change maneuvers for naturalistic driving studies. Intelligent Vehicles Symposium 2015: 654-659 - 2014
- [c7]Ravi Kumar Satzoda, Pujitha Gunaratne, Mohan M. Trivedi:
Drive analysis using lane semantics for data reduction in naturalistic driving studies. Intelligent Vehicles Symposium 2014: 293-298 - 2013
- [c6]Ravi Kumar Satzoda, Sujitha Martin, Minh Van Ly, Pujitha Gunaratne, Mohan M. Trivedi:
Towards automated drive analysis: A multimodal synergistic approach. ITSC 2013: 1912-1916
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