Vehicles are pervasively used in daily life, and vehicular safety, comfort and performance are critical for human productivity. In this project, we have explored ways in which on-board vehicular sensors can be used, and shared with other vehicles, to improve safety, comfort and performance.

Publications

2018

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

Towards Robust Vehicular Context Sensing Journal Article

IEEE Transactions on Vehicular Technology, 67 (3), pp. 1909-1922, 2018, ISSN: 0018-9545.

Links | BibTeX

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

AVR: Augmented Vehicular Reality Inproceedings

Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services (Mobisys), pp. 81–95, ACM, Munich, Germany, 2018, ISBN: 978-1-4503-5720-3.

Links | BibTeX

2017

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

Augmented Vehicular Reality: Enabling Extended Vision for Future Vehicles Inproceedings

the 18th Workshop on Mobile Computing Systems and Applications (HotMobile 2017), Sonoma, CA, 2017.

Abstract | Links | BibTeX

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

Real-time Traffic Estimation at Vehicular Edge Nodes Inproceedings

Proceedings of the Second ACM/IEEE Symposium on Edge Computing, pp. 3:1–3:13, ACM, San Jose, California, 2017, ISBN: 978-1-4503-5087-7.

Links | BibTeX

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

PredriveID: Pre-trip Driver Identification from In-vehicle Data Inproceedings

Proceedings of the Second ACM/IEEE Symposium on Edge Computing, pp. 2:1–2:12, ACM, San Jose, California, 2017, ISBN: 978-1-4503-5087-7.

Links | BibTeX

2015

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

CARLOC: Precisely Tracking Automobile Position Inproceedings

Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems (SenSys), Seoul, Korea, 2015.

BibTeX