Conference Paper

A Quest for Human-Robot Cohabitation: Towards Human-Centered Autonomous Driving

2017 International Conference on Computer Applications inIndustry and Engineering
Mohan M Trivedi


With recent advances in imaging sensors, embedded computing, machine perception, learning, planning

and control, intelligent vehicle technology is moving tantalizingly closer to a future with large- scale

deployment of self-driving automobiles on roadways. However, we are also realizing that many important

issues need deeper examination so that the safety, reliability and robustness of these highly complex

systems can be assured. Toward this end, we highlight research issues as they relate to the understanding

of human agents interacting with the automated vehicle, who are either occupants of such vehicles, or

who are in the near vicinity of the vehicles. The main idea is to develop an approach to properly design,

implement and evaluate methods and computational frame-works for distributed systems where intelligent

robots and humans cohabit, with proper understanding of mutual goals, plans, intentions, risks and safety

parameters. We emphasize the need and the implications of utilizing a holistic approach, where driving in

a naturalistic context is observed over long periods to learn behaviors of human agents in order to predict

intentions and interactivity patterns of all intelligent agents. Development of highly automated vehicles

opens new research avenues in machine learning, modeling, active control, perception of dynamic events,

and novel architectures for distributed cognitive systems. This presentation will give examples of some of

the accomplishments in the design of such systems and also highlight important research challenges yet to

be overcome.

CAINE 2017

San Diego, California, USA
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