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IV21 32nd IEEE Intelligent Vehicles Symposium

IV21 32nd IEEE Intelligent Vehicles Symposium

Nagoya , Japan

Submission Deadline: Monday 15 Feb 2021

Conference Dates: Jul 11, 2021 - Jul 17, 2021

Research
Impact Score 1.50

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Ranking & Metrics Impact Score is a novel metric devised to rank conferences based on the number of contributing the best scientists in addition to the h-index estimated from the scientific papers published by the best scientists. See more details on our methodology page.

Research Impact Score: 1.50
Contributing Best Scientists: 10
H5-index:
Papers published by Best Scientists 18
Research Ranking (Computer Science) 103
Research Ranking (Electronics and Electrical Engineering) 39
Research Ranking (Mechanical and Aerospace Engineering) 12

Conference Call for Papers

Topics of Interest
Authors are invited to submit papers that fall into the area of intelligent vehicles. The topics of interest include but are not limited to the following:

Advanced driver assistance systems
Advanced sensing and recognition
Artificial intelligence
Automated vehicles
Connected vehicles
Cognition and Control
Driver monitoring
Human factors
Intelligent electrified vehicles
Navigation and localization systems
Policies and regulations for intelligent vehicles
Vehicle dynamics and control
Vehicle hardware/software systems
Vehicle on-board diagnostics
Vehicular signal processing

Overview

Top Research Topics at IEEE Intelligent Vehicles Symposium?

  • Artificial intelligence (44.12%)
  • Computer vision (34.08%)
  • Object detection (12.03%)

IEEE Intelligent Vehicles Symposium primarily tackles Artificial intelligence, Computer vision, Object detection, Simulation and Vehicle dynamics. The work on Artificial intelligence tackled in IEEE Intelligent Vehicles Symposium brings together disciplines like Machine learning and Pattern recognition. Computer vision research featured in the event incorporates concerns from various other topics such as Lidar and Advanced driver assistance systems.

In the event, Pedestrian detection and Contextual image classification are investigated in conjunction with one another to address concerns in Object detection research. IEEE Intelligent Vehicles Symposium focuses on Simulation as well as the interrelated topic of Real-time computing. In the conference, researchers investigate the Vehicle dynamics study as part of research in the field of Control theory.

The study of Control engineering and how it intertwines with concepts under Control (management) were explored in the presented Control theory research. Studies on Feature extraction discussed in it link to the field of Feature (computer vision). The Trajectory study tackled is a key component of adjacent topics in the area of Motion planning.

What are the most cited papers published at the conference?

  • StereoScan: Dense 3d reconstruction in real-time (794 citations)
  • Towards fully autonomous driving: Systems and algorithms (739 citations)
  • Real time detection of lane markers in urban streets (557 citations)

Research areas of the most cited articles at IEEE Intelligent Vehicles Symposium:

Artificial intelligence, Computer vision, Object detection, Advanced driver assistance systems and Simulation are the main subjects of interest in the published papers. The conference articles explore topics in Artificial intelligence which can be helpful for research in disciplines like Machine learning and Pattern recognition. While Computer vision is the key highlight in the conference publications, thet also covered some subjects on Kalman filter and Sensor fusion.

What topics the last edition of the conference is best known for?

  • Artificial intelligence
  • Statistics
  • Computer vision

The previous edition focused in particular on these issues:

The foci of IEEE Intelligent Vehicles Symposium are Artificial intelligence, Motion planning, Aerospace engineering, Field (physics) and Binary neural network. It centers on topics in Artificial intelligence, with a focus on Pruning (decision trees). Motion planning research presented in the conference encompasses a variety of subjects, including Robotics, Theoretical computer science, Reachability, Set (abstract data type) and Risk analysis (engineering).

While work presented in the conference provided substantial information on Binary neural network, it also covered topics in Traffic sign detection and Pattern recognition.

The most cited articles from the last conference are:

  • Risk-aware Motion Planning for Autonomous Vehicles with Safety Specifications (1 citations)
  • Investigating Binary Neural Networks for Traffic Sign Detection and Recognition (0 citations)
  • A Real-time Co-Simulation Framework for Virtual Test and Validation on a High Dynamic Vehicle Test Bed (0 citations)

Papers citation over time

A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Research.com

The top authors publishing at IEEE Intelligent Vehicles Symposium (based on the number of publications) are:

  • Klaus Dietmayer (66 papers) absent at the last edition,
  • Christoph Stiller (57 papers) absent at the last edition,
  • Mohan M. Trivedi (49 papers) absent at the last edition,
  • J. Marius Zollner (35 papers) absent at the last edition,
  • Alois Knoll (34 papers) absent at the last edition.

The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.

Research.com

Only papers with recognized affiliations are considered

The top affiliations publishing at IEEE Intelligent Vehicles Symposium (based on the number of publications) are:

  • Daimler AG (158 papers) absent at the last edition,
  • Karlsruhe Institute of Technology (143 papers) absent at the last edition,
  • Technische Universität München (135 papers) published 5 papers at the last edition, 19 less than at the previous edition,
  • University of Ulm (85 papers) absent at the last edition,
  • Tsinghua University (79 papers) absent at the last edition.

The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.

Research.com

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

Research.com

During the most recent 2021 edition, 11.11% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 75.00% were posted by at least one author from the top 10 institutions publishing at the conference. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 0.00% of all publications and 25.00% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.

Research.com

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

Research.com

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

Research.com

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Research.com

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Feb 20, 2023 - Feb 23, 2023

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Previous Editions

IV21 32nd IEEE Intelligent Vehicles Symposium

Jul 11, 2021 - Jul 17, 2021

Nagoya , Japan, Japan

33rd IEEE Intelligent Vehicles Symposium

Jun 05, 2022 - Jun 09, 2022

Aachen , Germany, Germany

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