Cars have several onboard sensors, and we have, over the years, explored innovative uses of these to improve vehicular safety and comfort.
AutoCast: Scalable Infrastructure-Less Cooperative
Perception for Distributed Collaborative Driving
Hang Qiu, Po-Han Huang, Namo Asavisanu, and
3 more authors
In Proceedings of the 20th Annual International Conference on
Mobile Systems, Applications and Services , 2022
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} ,
topics = {vehicular} ,
series = {MobiSys '22}
}
CarMap-Fast 3D Feature Map Updates for Automobiles
Fawad Ahmad, Hang Qiu, Ray Eells, and
2 more authors
In 17th USENIX Symposium on Networked Systems Design and
Implementation (NSDI 20) , 2020
@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} ,
video = {https://www.youtube.com/watch?v=SlG4QGq5ypk} ,
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 = {} ,
pubstate = {published} ,
topics = {vehicular} ,
tppubtype = {inproceedings}
}
QuickSketch: Building 3D Representations in Unknown
Environments Using Crowdsourcing
Fawad Ahmad, Hang Qiu, Xiaochen Liu, and
2 more authors
In 2018 21st International Conference on Information Fusion
(FUSION) , 2018
@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} ,
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} ,
tppubtype = {inproceedings}
}
Kestrel: Video Analytics for Augmented Multi-Camera
Vehicle Tracking
H Qiu, X Liu, S Rallapalli, and
5 more authors
In 2018 IEEE/ACM Third International Conference on
Internet-of-Things Design and Implementation (IoTDI) , 2018
@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} ,
}
Towards Robust Vehicular Context Sensing
H Qiu, J Chen, S Jain, and
7 more authors
IEEE Transactions on Vehicular Technology , 2018
@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} ,
tppubtype = {article}
}
AVR: Augmented Vehicular Reality
Hang Qiu, Fawad Ahmad, Fan Bai, and
2 more authors
In Proceedings of the 16th Annual International Conference on
Mobile Systems, Applications, and Services (Mobisys) , 2018
@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} ,
tppubtype = {inproceedings}
}
Augmented Vehicular Reality: Enabling Extended Vision for
Future Vehicles
Hang Qiu, Fawad Ahmad, Ramesh Govindan , and
3 more authors
In Proceedings of the 18th International Workshop on Mobile
Computing Systems and Applications, HotMobile 2017, Sonoma,
CA, USA, February 21 - 22, 2017 , 2017
@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}
}
Real-time Traffic Estimation at Vehicular Edge Nodes
Gorkem Kar, Shubham Jain, Marco Gruteser, and
2 more authors
In Proceedings of the Second ACM/IEEE Symposium on Edge
Computing, San Jose / Silicon Valley, SEC 2017, CA, USA,
October 12-14, 2017 , 2017
@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} ,
topics = {vehicular} ,
year = {2017}
}
Pre-DriveID: Pre-trip Driver Identification from
In-vehicle Data
Gorkem Kar, Shubham Jain, Marco Gruteser, and
3 more authors
In Proceedings of the Second ACM/IEEE Symposium on Edge
Computing, San Jose / Silicon Valley, SEC 2017, CA, USA,
October 12-14, 2017 , 2017
@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} ,
doi = {10.1145/3132211.3134462}
}
Towards Robust Vehicular Context Sensing
Hang Qiu, Jinzhu Chen, Shubham Jain, and
7 more authors
IEEE Transactions on Vehicular Technology , 2017
@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} ,
year = {2017}
}
CARLOC: Precisely Tracking Automobile Position
Yurong Jiang, Hang Qiu, Matthew McCartney, and
5 more authors
In Proceedings of the 13th ACM Conference on Embedded
Networked Sensor Systems (SenSys) , no 2015
@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 ,
topics = {vehicular} ,
location = { Seoul, Korea } ,
year = {2015}
}