Ramesh Govindan | Vehicular sensing

Cars have several onboard sensors, and we have, over the years, explored innovative uses of these to improve vehicular safety and comfort.

MobiSys
AutoCast: Scalable Infrastructure-Less Cooperative Perception for Distributed Collaborative Driving

Qiu, Hang, Huang, Po-Han, Asavisanu, Namo, Liu, Xiaochen, Psounis, Konstantinos, and Govindan, Ramesh

In Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services 2022

Abs Bib Link

Autonomous vehicles use 3D sensors for perception. Cooperative perception enables vehicles to share sensor readings with each other to improve safety. Prior work in cooperative perception scales poorly even with infrastructure support. AUTOCAST1 enables scalable infrastructure-less cooperative perception using direct vehicle-to-vehicle communication. It carefully determines which objects to share based on positional relationships between traffic participants, and the time evolution of their trajectories. It coordinates vehicles and optimally schedules transmissions in a distributed fashion. Extensive evaluation results under different scenarios show that, unlike competing approaches, AUTOCAST can avoid crashes and near-misses which occur frequently without cooperative perception, its performance scales gracefully in dense traffic scenarios providing 2-4x visibility into safety critical objects compared to existing cooperative perception schemes, its transmission schedules can be completed on the real radio testbed, and its scheduling algorithm is near-optimal with negligible computation overhead.
@inproceedings{Qiu22a, author = {Qiu, Hang and Huang, Po-Han and Asavisanu, Namo and Liu, Xiaochen and Psounis, Konstantinos and Govindan, Ramesh}, title = {AutoCast: Scalable Infrastructure-Less Cooperative Perception for Distributed Collaborative Driving}, year = {2022}, isbn = {9781450391856}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3498361.3538925}, doi = {10.1145/3498361.3538925}, booktitle = {Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services}, pages = {128–141}, numpages = {14}, keywords = {cooperative perception, V2V communication, autonomous cars}, location = {Portland, Oregon}, abbr = {MobiSys}, selected = {true}, topics = {vehicular}, series = {MobiSys '22} }

NSDI

CarMap-Fast 3D Feature Map Updates for Automobiles

Ahmad, Fawad, Qiu, Hang, Eells, Ray, Bai, Fan, and Govindan, Ramesh

In 17th USENIX Symposium on Networked Systems Design and Implementation (NSDI 20) 2020

Bib Link Code Slides

@inproceedings{Ahmad2020,
  title = {CarMap-Fast 3D Feature Map Updates for Automobiles},
  author = {Ahmad, Fawad and Qiu, Hang and Eells, Ray and Bai, Fan and Govindan, Ramesh},
  url = {https://nsl.usc.edu/wp-content/uploads/2020/02/nsdi20-paper-ahmad.pdf},
  code = {https://github.com/USC-NSL/CarMap},
  video = {https://www.youtube.com/watch?v=SlG4QGq5ypk},
  slides = {https://nsl.usc.edu/wp-content/uploads/2020/02/nsdi20_slides_ahmad.pdf},
  year = {2020},
  date = {2020-01-01},
  booktitle = {17th USENIX Symposium on Networked Systems Design and Implementation (NSDI 20)},
  publisher = {USENIX Association},
  address = {Santa Clara, CA},
  keywords = {},
  abbr = {NSDI},
  pubstate = {published},
  topics = {vehicular},
  tppubtype = {inproceedings}
}

Fusion

QuickSketch: Building 3D Representations in Unknown Environments Using Crowdsourcing

Ahmad, Fawad, Qiu, Hang, Liu, Xiaochen, Bai, Fan, and Govindan, Ramesh

In 2018 21st International Conference on Information Fusion (FUSION) 2018

Bib Link

@inproceedings{Ahmad:2018,
  title = {QuickSketch: Building 3D Representations in Unknown Environments Using Crowdsourcing},
  author = {Ahmad, Fawad and Qiu, Hang and Liu, Xiaochen and Bai, Fan and Govindan, Ramesh},
  url = {https://nsl.usc.edu/wp-content/uploads/2018/07/ahmad18.pdf},
  doi = {10.23919/ICIF.2018.8455437},
  year = {2018},
  date = {2018-07-01},
  booktitle = {2018 21st International Conference on Information Fusion (FUSION)},
  pages = {2314-2321},
  keywords = {Three-dimensional displays;Visualization;Cameras;Simultaneous localization and mapping;Feature extraction},
  pubstate = {published},
  topics = {vehicular},
  abbr = {Fusion},
  tppubtype = {inproceedings}
}

IoTDI

Kestrel: Video Analytics for Augmented Multi-Camera Vehicle Tracking

Qiu, H, Liu, X, Rallapalli, S, Bency, A J, Chan, K, Urgaonkar, R, Manjunath, B S, and Govindan, R

In 2018 IEEE/ACM Third International Conference on Internet-of-Things Design and Implementation (IoTDI) 2018

Bib

@inproceedings{Qiu18c,
  title = {Kestrel: Video Analytics for Augmented Multi-Camera Vehicle Tracking},
  author = {Qiu, H and Liu, X and Rallapalli, S and Bency, A J and Chan, K and Urgaonkar, R and Manjunath, B S and Govindan, R},
  doi = {10.1109/IoTDI.2018.00015},
  year = {2018},
  date = {2018-04-01},
  booktitle = {2018 IEEE/ACM Third International Conference on Internet-of-Things Design and Implementation (IoTDI)},
  pages = {48-59},
  pubstate = {published},
  tppubtype = {inproceedings},
  topics = {vehicular,sensing},
  abbr = {IoTDI}
}

TVT

Towards Robust Vehicular Context Sensing

Qiu, H, Chen, J, Jain, S, Jiang, Y, McCartney, M, Kar, G, Bai, F, Grimm, D K, Gruteser, M, and Govindan, R

IEEE Transactions on Vehicular Technology 2018

Bib

@article{Qiu18b,
  title = {Towards Robust Vehicular Context Sensing},
  author = {Qiu, H and Chen, J and Jain, S and Jiang, Y and McCartney, M and Kar, G and Bai, F and Grimm, D K and Gruteser, M and Govindan, R},
  doi = {10.1109/TVT.2017.2771623},
  issn = {0018-9545},
  year = {2018},
  date = {2018-03-01},
  journal = {IEEE Transactions on Vehicular Technology},
  volume = {67},
  number = {3},
  pages = {1909-1922},
  keywords = {vehicular sensing},
  topics = {vehicular},
  pubstate = {published},
  abbr = {TVT},
  tppubtype = {article}
}

MobiSys

AVR: Augmented Vehicular Reality

Qiu, Hang, Ahmad, Fawad, Bai, Fan, Gruteser, Marco, and Govindan, Ramesh

In Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services (Mobisys) 2018

Bib Link

@inproceedings{Qiu18d,
  title = {AVR: Augmented Vehicular Reality},
  author = {Qiu, Hang and Ahmad, Fawad and Bai, Fan and Gruteser, Marco and Govindan, Ramesh},
  url = {http://doi.acm.org/10.1145/3210240.3210319},
  doi = {10.1145/3210240.3210319},
  isbn = {978-1-4503-5720-3},
  year = {2018},
  date = {2018-01-01},
  booktitle = {Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services (Mobisys)},
  pages = {81--95},
  publisher = {ACM},
  address = {Munich, Germany},
  series = {MobiSys '18},
  topics = {vehicular},
  keywords = {Autonomous Cars, Collaborative Sensing, Extended Vision, vehicular sensing},
  pubstate = {published},
  abbr = {MobiSys},
  tppubtype = {inproceedings}
}

Augmented Vehicular Reality: Enabling Extended Vision for Future Vehicles

Qiu, Hang, Ahmad, Fawad, Govindan, Ramesh, Gruteser, Marco, Bai, Fan, and Kar, Gorkem

In Proceedings of the 18th International Workshop on Mobile Computing Systems and Applications, HotMobile 2017, Sonoma, CA, USA, February 21 - 22, 2017 2017

Bib

@inproceedings{Qiu17a,
  author = {Qiu, Hang and Ahmad, Fawad and Govindan, Ramesh and Gruteser, Marco and Bai, Fan and Kar, Gorkem},
  title = {Augmented Vehicular Reality: Enabling Extended Vision for Future Vehicles},
  booktitle = {Proceedings of the 18th International Workshop on Mobile Computing
                 Systems and Applications, HotMobile 2017, Sonoma, CA, USA, February
                 21 - 22, 2017},
  pages = {67--72},
  topics = {vehicular},
  year = {2017}
}

SEC

Real-time Traffic Estimation at Vehicular Edge Nodes

Kar, Gorkem, Jain, Shubham, Gruteser, Marco, Bai, Fan, and Govindan, Ramesh

In Proceedings of the Second ACM/IEEE Symposium on Edge Computing, San Jose / Silicon Valley, SEC 2017, CA, USA, October 12-14, 2017 2017

Bib

@inproceedings{Kar17b,
  author = {Kar, Gorkem and Jain, Shubham and Gruteser, Marco and Bai, Fan and Govindan, Ramesh},
  title = {{Real-time Traffic Estimation at Vehicular Edge Nodes}},
  booktitle = {{Proceedings of the Second {ACM/IEEE} Symposium on Edge Computing,
                 San Jose / Silicon Valley, {SEC} 2017, CA, USA, October 12-14, 2017}},
  pages = {3:1--3:13},
  abbr = {SEC},
  topics = {vehicular},
  year = {2017}
}

SEC

Pre-DriveID: Pre-trip Driver Identification from In-vehicle Data

Kar, Gorkem, Jain, Shubham, Gruteser, Marco, Chen, Jinzhu, Bai, Fan, and Govindan, Ramesh

In Proceedings of the Second ACM/IEEE Symposium on Edge Computing, San Jose / Silicon Valley, SEC 2017, CA, USA, October 12-14, 2017 2017

Bib

@inproceedings{Kar17a,
  author = {Kar, Gorkem and Jain, Shubham and Gruteser, Marco and Chen, Jinzhu and Bai, Fan and Govindan, Ramesh},
  title = {{Pre-DriveID: Pre-trip Driver Identification from In-vehicle Data}},
  booktitle = {{Proceedings of the Second {ACM/IEEE} Symposium on Edge Computing,
                 San Jose / Silicon Valley, {SEC} 2017, CA, USA, October 12-14, 2017}},
  pages = {2:1--2:12},
  year = {2017},
  topics = {vehicular},
  abbr = {SEC},
  doi = {10.1145/3132211.3134462}
}

TVT

Towards Robust Vehicular Context Sensing

Qiu, Hang, Chen, Jinzhu, Jain, Shubham, Jiang, Yurong, McCartney, Matt, Kar, Gorkem, Bai, Fan, Grimm, Donald K., Gruteser, Marco, and Govindan, Ramesh

IEEE Transactions on Vehicular Technology 2017

Bib

@article{Qiu17b,
  author = {Qiu, Hang and Chen, Jinzhu and Jain, Shubham and Jiang, Yurong and McCartney, Matt and Kar, Gorkem and Bai, Fan and Grimm, Donald K. and Gruteser, Marco and Govindan, Ramesh},
  title = {{Towards Robust Vehicular Context Sensing}},
  journal = {IEEE Transactions on Vehicular Technology},
  topics = {vehicular},
  abbr = {TVT},
  year = {2017}
}

SenSys

CARLOC: Precisely Tracking Automobile Position

Jiang, Yurong, Qiu, Hang, McCartney, Matthew, Sukhatme, Gaurav, Gruteser, Marco, Bai, Fan, Grimm, Donald, and Govindan, Ramesh

In Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems (SenSys) no 2015

Bib

@inproceedings{Jiang15a,
  author = {Jiang, Yurong and Qiu, Hang and McCartney, Matthew and Sukhatme, Gaurav and Gruteser, Marco and Bai, Fan and Grimm, Donald and Govindan, Ramesh},
  title = { {CARLOC: Precisely Tracking Automobile Position} },
  booktitle = { Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems (SenSys) },
  month =  no,
  abbr = {SenSys},
  topics = {vehicular},
  location = { Seoul, Korea },
  year = {2015}
}