Conference Information

CAVS 2020: IEEE Connected and Automated Vehicles Symposium

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Submission Date:
2020-06-15
Notification Date:
2020-07-31
Conference Date:
2020-10-04
Location:
Victoria, British Columbia, Canada
Years:
3
Viewed: 16150   Tracked: 1   Attend: 1

Conference Partner Index (CP-I)

40.2 / 100
Ranked #5,001 of 5,682 conferences · Top 89%
Academic recognition (35%) No data - scored at the neutral baseline of 50
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%)
37
Community attention (10%)
15
Public record completeness (15%)
25

Inputs used: Editions on record: 3 · Researchers following it here: 1 · Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-19

Call For Papers

CAVS 2020 (IEEE Connected and Automated Vehicles Symposium) is an academic conference held in Victoria, British Columbia, Canada on 2020-10-04. The paper submission deadline is 2020-06-15. Acceptance notifications are sent on 2020-07-31.

With the advances in computing and communication technologies, vehicle technology has entered a new era of connected and automated vehicles (CAVs). The host of technologies that are required to enable CAVs are many and span several engineering and science disciplines. This symposium aims to bring together researchers who are working on different aspects of CAVs. IEEE CAVS is a symposium for reporting advances in all aspects of CAVs, including theory, tools, protocols, networks, applications, systems, test-beds and field deployments. IEEE CAVS 2020 will be held on 4-5 October 2020 in Victoria, co-located with IEEE VTC2020-Fall (4-7 October 2020). Areas of interest include (but are not limited to) the following: – Autonomous driving – Motion Planning, Decision-Making, and Controls for CAVs – Vehicular networks – V2V, V2I and V2X communications – ADAS technologies, systems and applications – Artificial Intelligence and Machine Learning for CAVs – In-vehicle communications – 5G for connected and automated vehicles – Sensing, detection, and actuation – Formal Methods and Model Checking in Autonomous Driving – Multi-CAV Coordination – Multi-sensor fusion – Mapping and localization – Vision and environment perception – In-car electronics and embedded software, OS and systems – Networked automotive cyber-physical systems – Automotive IoT – Vehicular and transportation data analytics – Automotive cybersecurity, liability and privacy – Smart and shared mobility systems and applications – Coexistence of CAVs, automated, connected and conventional/legacy vehicles – Connected and automated vehicle safety applications – Impact of CAVs on transport safety, traffic management, characterization and prediction – Computer aided modeling, simulation, verification – Field trials – Standards development, business models, policies – Human factors, human machine interfaces and Human-Vehicle Interaction – Emotion detection in self-driving vehicles – CAVs and vulnerable road users Prospective authors are invited to submit 5-page, original, and unpublished full papers. If you have a paper that is longer than 5 pages at the time of final submission, you can purchase up to two (2) excess pages per paper at a cost of $100 USD per page (maximum page count for any final submission is 7 total pages). Manuscripts should be formatted according to IEEE two-column conference style, including figures and references. Manuscripts should be submitted through trackchair: https://ieee-cavs2020.trackchair.com/ All submissions will undergo peer-review by subject matter experts, and the full paper version of accepted submissions will be published in the conference proceedings and submitted to IEEE Xplore (conditional on in-person presentation at the conference).
Last updated by Dou Sun on

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