M2M gossip: why might we want cars to talk about us?

Authors:
Jennifer Healey;Chieh-Chih Wang;Andreas Dopfer;Chung-Che Yu
Affiliations:
Interaction and Experience Research, Santa Clara, CA;National Taiwan University, Taipei, Taiwan;National Taiwan University, Taipei, Taiwan;National Taiwan University, Taipei, Taiwan
Venue:
Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Year:
2012

Citing 2
Cited 0

Simultaneous Localization, Mapping and Moving Object Tracking

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Augmenting on-road perception: enabling smart and social driving with sensor fusion and cooperative localization

AH '12 Proceedings of the 3rd Augmented Human International Conference

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Abstract

What could or should your car be saying about you to other cars or other people on the road? In this paper, we present some preliminary results from a multi-state in-vehicle driver monitoring system and position it with respect to our work in M2M communication. We propose to improve our current motion object tracking algorithm with the addition of a driver state variable, allowing cars to make predictions about other cars' trajectories with information beyond position, velocity and maps. We envision a transportation future where autonomous and semi-autonomous vehicles could be talking about us to our benefit and advanced driver assist would extend beyond the vehicle to a network of connected cars.