Sense as you go: A context-aware adaptive sensing framework for on-road driver profiling

Author:

Mondal Ananya1ORCID,Kaushal Martin2ORCID,Chakraborty Suchetana1ORCID

Affiliation:

1. Indian Institute of Technology Jodhpur, India

2. Thapar Institute of Engineering and Technology Patiala, Punjab, India

Funder

SERB, DST

Publisher

ACM

Reference37 articles.

1. Walid Abdel-Hamid . 2004. Accuracy enhancement of integrated MEMS-IMU/GPS systems for land vehicular navigation applications . University of Calgary , Department of Geomatics Engineering. Walid Abdel-Hamid. 2004. Accuracy enhancement of integrated MEMS-IMU/GPS systems for land vehicular navigation applications. University of Calgary, Department of Geomatics Engineering.

2. Real-Time Identification and Classification of Driving Maneuvers using Smartphone

3. Toward an integrated traffic law enforcement and network management in connected vehicle environment: Conceptual model and survey study of public acceptance

4. Adaptive fuzzy classifier to detect driving events from the inertial sensors of a smartphone

5. Jared  B Bancroft . 2009 . Multiple IMU integration for vehicular navigation . In Proceedings of the 22nd International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS 2009). 1828–1840 . Jared B Bancroft. 2009. Multiple IMU integration for vehicular navigation. In Proceedings of the 22nd International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS 2009). 1828–1840.

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