Luyang Liu (刘路阳)

WINLAB

Department of Electrical and Computer Engineering

Rutgers University

671 Route 1 South

North Brunswick, N.J. 08902-3390

 

Email: luyang AT winlab DOT rutgers DOT edu

 

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Luyang Liu is a Ph.D Candidate in Department of Electrical and Computer Engineering under Prof. Marco Gruteser, Rutgers University. He is a research assistant in Wireless Information Network Lab (WINLAB), where he is currently working on connected vehicle and driving safety applications. His research interests lie in the fields of mobile computing and sensing, with special focus on driver assistance system and virtual reality. He received his B.S. degree in 2013 from Beijing University of Posts and Telecommunications, China.

 

PROJECTS

BigRoad: Scaling Road Data Acquisition for Dependable Self-Driving. Developing dependable self-driving technologies requires an understanding of not just common highway and city traffic situations but also a plethora of widely different unusual events (e.g., object on roadway and pedestrian crossing highway, etc.). The average human driver achieves on the order of almost 100 million vehicle miles traveled per fatality. Demonstrating driving performance at an above-average, advanced human driver level will therefore require successfully avoiding fatalities with unusual events that might be encountered within a billion miles of driving. By developing technology to scale road data acquisition to a large number of vehicles, we introduce a low-cost yet reliable solution, BigRoad, that can derive internal driver inputs (i.e., steering wheel angles, driving speed and acceleration) and external perceptions of road environments (i.e., road conditions and front-view video) using a smartphone and an IMU mounted in a vehicle. [MobiSys 2017 Paper] [MobiSys 2017 1-min Video] [MobiCom 2016 App Contest Video]
 
Building a Wireless High-Quality Virtual Reality System. All existing high-quality virtual reality (VR) systems (e.g., HTC Vive and Oculus Rift) are tethered, requiring an HDMI cable to connect the head mounted display (HMD) to a PC for rendering rich graphic contents. Such a tethered design not only limits user mobility but also imposes hazards to users. To get rid of the cable, "cable replacement" solutions have been proposed but without any programmability at the HMD side. In this work, we explore how to build a programmable wireless high-quality VR system using commodity hardware. [APSys 2017 Paper] [MobiCom 2017 App Contest Video]
 
Driver Phone Use Detection Leveraging Sensors in Smartphones and Smartwatches. Distracted driving due to mobile devices contributes to nearly one thousand fatalities per year and is now receiving attention not only from government regulators but also within the highest executive levels of the mobile industry. This project seeks to utilize various sensors integrated in smartphones, e.g., accelerometers, gyroscopes, and magnetometers, to effectively determine whether the phone is used on the driver side or passenger side, which can facilitate many traffic safety applications. [INFOCOM 2016 Paper] [TMC Paper] [WearSys 2015 Paper]
 

 

PUBLICATIONS

Cutting the Cord: Designing a High-quality Untethered VR System with Low Latency Remote Rendering
Luyang Liu, Ruiguang Zhong, Wuyang Zhang, Yunxin Liu, Jiansong Zhang, Lintao Zhang, Marco Gruteser.
in Proceedings of the 16th International Conference on Mobile Systems, Applications, and Services (ACM MobiSys 2018).
Munich, Germany, June 2018. (Acceptance rate: 37/138 = 26.8%)
 
Single-sensor Motion and Orientation Tracking in a Moving Vehicle
Cagdas Karatas, Luyang Liu, Marco Gruteser, Richard Howard.
in Proceedings of the 15th IEEE International Conference on Sensing, Communication and Networking (IEEE SECON 2018).
Hong Kong, China, June 2018. (Acceptance rate: 49/211 = 23.2%)
 
BigRoad: Scaling Road Data Acquisition for Dependable Self-Driving
Luyang Liu, Hongyu Li, Jian Liu, Cagdas Karatas, Yan Wang, Marco Gruteser, Yingying Chen, Richard Martin.
in Proceedings of the 15th International Conference on Mobile Systems, Applications, and Services (ACM MobiSys 2017).
Niagara Falls, NY, USA, June 2017. (Acceptance rate: 34/191 = 17.8%) [1-min Video] [Presentation Video] [Slides]
 
On Building a Programmable Wireless High-Quality Virtual Reality System Using Commodity Hardware
Ruiguang Zhong, Manni Wang, Zijian Chen, Luyang Liu, Yunxin Liu, Jiansong Zhang, Lintao Zhang, Thomas Moscibroda.
in Proceedings of the 8th Asia-Pacific Workshop on Systems (ACM APSys 2017).
Mumbai, India, September 2017.
 
Leveraging Wearables for Steering and Driver Tracking
Cagdas Karatas, Luyang Liu, Hongyu Li, Jian Liu, Yan Wang, Sheng Tan, Jie Yang, Yingying Chen, Marco Gruteser, Richard Martin.
in Proceedings of the 35th IEEE International Conference on Computer Communications (IEEE INFOCOM 2016).
San Francisco, CA, USA, April 2016. (Acceptance rate: 300/1644 = 18.25%)
 
Towards Safer Texting While Driving Through Stop Time Prediction
Hongyu Li, Luyang Liu, Cagdas Karatas, Jian Liu, Marco Gruteser, Yingying Chen, Yan Wang, Richard Martin, Jie Yang.
in Proceedings of the First ACM International Workshop on Smart, Autonomous, and Connected Vehicular Systems and Services (CarSys 2016).
New York, NY, USA, October 2016.
 
Determining Driver Phone Use by Exploiting Smartphone Integrated Sensors
Yan Wang, Yingying Chen, Jie Yang, Marco Gruteser, Richard Martin, Hongbo Liu, Luyang Liu, Cagdas Karatas.
IEEE Transactions on Mobile Computing (TMC), 15.8 (2016): 1965-1981.
 
Toward Detection of Unsafe Driving with Wearables
Luyang Liu, Cagdas Karatas, Hongyu Li, Sheng Tan, Marco Gruteser, Jie Yang, Yingying Chen, Richard P. Martin.
in Proceedings of Workshop on Wearable Systems and Applications (WearSys 2015).
Florence, Italy, May 2015.
 
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TEACHING

ECE 451/566 - Parallel and Distributed Computing. - Fall 2015
ENG 127 - Introduction to Computers for Engineers. - Spring 2016
ECE 233 - Digital Logic Design Lab. - Fall 2016
ECE 563 - Computer Architecture. - Fall 2017

Selected Honors & Awards

ACM MobiSys'17 Ph.D Forum Best Presentation Runner-up Award
ACM MobiCom'17 App Contest Finalist
ACM MobiCom'16 App Contest Finalist
ACM MobiSys'15 Student Travel Grants

Paper Reviewer

IEEE Transactions on Mobile Computing
IEEE Transactions on Wireless Communications
Pervasive and Mobile Computing
UbiComp 2016 (External Reviewer)

News!

Mar 2018

Our paper "Single-sensor Motion and Orientation Tracking in a Moving Vehicle" has been accepted to IEEE SECON 2018.

Feb 2018

Our paper "Cutting the Cord: Designing a High-quality Untethered VR System with Low Latency Remote Rendering" has been accepted to ACM MobiSys 2018.

Invited as a TPC member for MobiSys PhD Forum 2018, consider submitting!

Oct 2017

Our App to enable untethered VR experience has been accepted to the finallist of ACM MobiCom 2017! Watch the short video here.

Jun 2017

I presented our paper BigRoad in MobiSys 2017.

I received Best Presentation Runner-up Award from MobiSys 2017 PhD Forum.

Feb 2017

Our paper "BigRoad: Scaling Road Data Acquisition for Dependable Self-Driving" has been accepted to ACM MobiSys 2017.

Sep 2016

Our AutoLogger App has been accepted to the finallist of ACM MobiCom 2016! Watch the short video here.

Feb 2016

I was in charge of presentation recording in ACM HotMobile 2016.

Nov 2015

Our paper "Leveraging Wearables for Steering and Driver Tracking" has been accepted to IEEE INFOCOM 2016.

May 2015

I have received Student Travel Grant from ACM MobiSys 2015.