PUBLICATIONS

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• Y. X. Tan, M. B. Prasetyo, M. A. Daffa, D. S. Nitin, M. Meghjani, "Evaluating Visual Odometry Methods for Autonomous Driving in Rain", IEEE International Conference on Automation Science and Engineering (CASE), 2023. [PDF]

• N. M. Bunger*, S. Panjwani*, M. Meghjani*, Z. Huang, M. H. Ang Jr., D. Rus, “Context and Orientation Aware Path Tracking”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021. [PDF] [Video]

• Y. Luo*, M. Meghjani*, Q. H. Ho*, D. Hsu, D. Rus, “Interactive Planning for Autonomous Urban Driving in Adversarial Scenarios”, IEEE International Conference on Robotics and Automation (ICRA), 2021. 
  [PDF] [Video]

• M. Meghjani, Y. Luo, Q. H. Ho, P. Cai, S. Verma, D. Rus, and D. Hsu, “Context and Intention Aware Planning for Urban Driving”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019. [PDF] [Video]

• H. Guo, Z. Meng, Z. Huang, W. Leong, Z. Chen, M. Meghjani, M. H Ang Jr, D. Rus, “Safe Path Planning with Gaussian Process Regulated Risk Map”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019. [PDF]

• M. Meghjani, H. Guo, Z. Meng, S. Hao, F. Mengdan, W. K. Leong, K. Chaudhary, M. H. Ang Jr., D. Rus, “Mobility-on-Demand using Autonomous Vehicles: Systems, Solutions and Challenges”, Cooperative Intelligent Transport Systems: Towards High-Level Automated Driving, The Institution of Engineering and Technology (IET), 2019. [PDF]

• M. Meghjani, Y. H. Eng, S. Verma, D. Rus and M. H. Ang Jr., “Context-Aware Intention and Trajectory Prediction for Urban Driving Environment”, International Symposium on Experimental Robotics (ISER), 2018. [PDF] [Video]

• S. Verma, Y. H. Eng, H. X. Kong, H. Andersen, M. Meghjani, W. K. Leong, X. Shen, C. Zhang, M. H. Ang Jr. and D. Rus, “Vehicle Detection, Tracking and Behavior Analysis in Urban Driving Environments using Road Context”, IEEE International Conference on Robotics and Automation (ICRA), 2018. [PDF] [Video]

• S. D. Pendleton, H. Andersen, X. Du, X. Shen, M. Meghjani, Y. H. Eng, D. Rus, and M. H Ang Jr., “Perception, Planning, Control, and Coordination for Autonomous Vehicles”, in Machines, 2017. [PDF]

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mULTI CLASS MOBILITY-ON-DEMAND

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This project aims to seamlessly connect first mile to last mile of a passenger journey using multiple modes of transport including (walk, cycle, scooter, drive, ride in public transport). We also address the problem of fleet sizing to trade-off the travel time and capital budget. 

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Multi-class mobility-on-demand: https://www.youtube.com/watch?v=1aiEJETbjRs 

Shared autonomous scooters: https://senseable.mit.edu/rebound/ 

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PUBLICATIONS 

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• N. Shrivasatava*, M. Meghjani*, ``Congestion-Aware Routing for Multi-Class Mobility-on-
  Demand Service'', IEEE International Conference on Automation Science and Engineering (CASE),
  2022. [PDF]

• D. Kondor, X. Zhang, M. Meghjani, P. Santi, J. Zhao, C. Ratti, “Estimating the potential for shared autonomous scooters”, IEEE Transactions on Intelligent Transportation Systems, 2021. [PDF] 

• M. Meghjani, S. D. Pendleton, K. Marczuk, Y. H. Eng, X. Shen, D. Rus and M. H. Ang Jr., “Multiclass Fleet Sizing and Mobility-on-Demand Service”, Complex Systems Design & Management (CSD&M), 2018. [PDF]

• M. Meghjani, K. Marczuk, “A Hybrid Approach to Matching Taxis and Customers”, IEEE Region Ten Conference (TENCON) – Technologies for Smart Nation, 2016. [PDF]

• M. Meghjani, S. Manjanna and G. Dudek, “Fast and Efficient Rendezvous in Street Networks”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016. [PDF] 

• M. Meghjani and G. Dudek, “Multi-Agent Rendezvous on Street Networks”, IEEE International Conference on Robotics and Automation (ICRA), 2014. [PDF]
  
  *All authors contributed equally.

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