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NCAD 2019 : IEEE VTC Workshop: Network-assisted Collaborative Automated Driving


When Sep 22, 2019 - Sep 22, 2019
Where Honolulu, Hawaii
Submission Deadline Jun 17, 2019
Notification Due Jul 5, 2019
Final Version Due Jul 22, 2019
Categories    vehicular network   collaborative automated drivin   vehicular communication

Call For Papers

As driving becomes increasingly automated, how to design a robust ADAS that operates reliably across the entire spectrum of driving environments attracts tremendous attention from both industry and academia. One promising way of approaching this goal is to take advantage of vehicular wireless communications. By connecting with other vehicles and/or to the roadside, a vehicle collects information regarding its surrounding environment from multiple angles and with diverse granularities. Such information is expected to augment ADAS’s perception, location, and mapping functionalities., resulting in a more smooth and confident navigation. However, many challenges exist in this promising area.
This dedicated full-day workshop concerns the most recent advancements in wireless communications, sensory technologies and information processing. It aims to compile a refreshed view on the solutions combing the power of wireless communications and traditional ADAS for a safer, more efficient automated/autonomous vehicle. Challenges, opportunities and benefits of performing research in this interdisciplinary domain will be analyzed and highlighted.

Workshop topics:
a) Wireless communication protocol design aimed to enable or augment cooperation among automated/autonomous ground vehicles.
This topic includes optimization of existing communication technologies (e.g., DSRC, LTE-V2X) for automated/autonomous driving applications and design of new communication solutions (e.g., 5G, mmWave) for large capacity V2X data communications
b) Collaborative automated/autonomous vehicle applications that leverage over-the-air information to facilitate the vehicles’ operation.
This topic solicits innovative V2X application designs. The applications will be capable of processing V2X information to improve automated/autonomous vehicles’ perception, localization, mapping and control.

Call for Papers:
Topics of Interest
Papers related to vehicular wireless communication protocol design or collaborative automated/autonomous vehicle application design that leverage over-the-air information to facilitate vehicles’ operation are solicited on. Topics of interests include, but not limited to,
1) V2X communication protocol design, testing and evaluation
2) V2X assisted/enhanced vehicular application design
3) Cooperative mapping and perception for automated driving
4) Analytical models and simulation tools for cooperative automated driving
5) Network-augmented ADAS
6) Sensor fusion

Paper Submission Guidelines
Original papers are solicited. Papers must have not been published nor be submitted for publication elsewhere. The workshop Technical Program Committee will review all papers and make selection based on the quality of the submission and its relevance to the workshop scope. All workshop papers will be published in the VTC2019-Fall conference proceedings and be submitted to IEEE Xplore (conditional on presentation by one of the authors at the workshop). Workshop papers will be subject to the same formatting and length requirements as papers for the regular technical sessions of VTC 2019-Fall (5-page limit for paper submissions, plus a maximum of 2 additional pages for $100 per page for the final version).

Paper Submission Deadline: June 17, 2019
Acceptance Notification: July 5, 2019
Final Paper Submission: July 22, 2019
Paper submission:
Workshop Dates: September 22, 2019

Workshop Chairs:
Hongsheng Lu, Toyota Motor North America, USA
Rui Guo, Toyota Motor North America, USA

Invited Speakers (preliminary)
1. Prof. Hao Zhang, an assistant Professor in the Department of Computer Science at the Colorado School of Mines. His research interests focus on long-term collaborative autonomy which includes peer-to-peer human-robot/swarm teaming, distributed collaborative mapping, multisensory perception, robot learning and adaptation, long-term autonomy, machine learning (ML), artificial intelligence (AI), augmented reality (AR) and mixed reality (MR).

Technical Program Committees (TBD)
Bin Cheng, WINLAB at Rutgers University
Ehsan Moradi Pari, Honda US R&D
Hendrik-Jörn Günther, VOLKSWAGEN
Ivan Wang-Hei Ho, The Hong Kong Polytechnic University
Malik Khan, Cohda Wireless
Miguel Sepulcre, Universidad Miguel Hernandez de Elche (UMH)
Seng W. Loke, Deakin University
Seung R. Yang, LG Electronics
Zhe XUANYUAN, BNU - BUHK united international college

General inquiry about workshop:

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