Utilizing the infrastructure to assist autonomous vehicles in a mobility on demand context

In this paper we describe an autonomous vehicle that aims at providing shared transportation services in a mobility on demand context. As the service is limited to a known urban environment, prior knowledge of the environment can be exploited, as well as existing infrastructure sensors such as security cameras. We argue that utilizing infrastructure sensors yields greater safety of operation and allows reduction in the number of sensors required on-board, hereby reducing the cost of the vehicle. We describe the role that infrastructure sensors can play and show the resulting improved performances of the system, supported by simulation and field experiment results.

[1]  Bill Triggs,et al.  Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[2]  William J. Mitchell,et al.  Reinventing the Automobile: Personal Urban Mobility for the 21st Century , 2010 .

[3]  Jonathan P. How,et al.  Real-Time Motion Planning With Applications to Autonomous Urban Driving , 2009, IEEE Transactions on Control Systems Technology.

[4]  Emilio Frazzoli,et al.  Autonomy for mobility on demand , 2012, IROS.

[5]  E. Frazzoli,et al.  Autonomous personal vehicle for the first- and last-mile transportation services , 2011, 2011 IEEE 5th International Conference on Cybernetics and Intelligent Systems (CIS).

[6]  Wolfram Burgard,et al.  Probabilistic Robotics (Intelligent Robotics and Autonomous Agents) , 2005 .

[7]  Emilio Frazzoli,et al.  Curb-intersection feature based Monte Carlo Localization on urban roads , 2012, 2012 IEEE International Conference on Robotics and Automation.

[8]  Marcelo H. Ang,et al.  Autonomy for mobility on demand , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.