[Jan 26, 2021] Binge-on! It’s the last week to access all the great IV2020 material on-demand at Infovaya. You can download the “usb” proceedings from the main page or find the official version on IEEEXplore. Be sure to check out the award winning papers.
- SCSSnet: Learning Spatially-Conditioned Scene Segmentation on LiDAR Point Clouds
- Model-Based Prediction of Two-Wheelers
- Opening New Dimensions: Vehicle Motion Planning and Control Using Brakes While Drifting
Best Student Papers
- Tactical Decision-Making in Autonomous Driving by Reinforcement Learning with Uncertainty Estimation
- Open Set Driver Activity Recognition
- Context-Aware Multi-Task Learning for Traffic Scene Recognition in Autonomous Vehicles
All material will be available on the Infovaya virtual platform through January 2021.
All announcements ./announcements/
We look forward to your participation in the 31st IEEE Intelligent Vehicles Symposium
October 19 - November 13, 2020
(Virtual) Las Vegas, NV, United States
The 2020 IEEE Intelligent Vehicles Symposium (IV2020) is a premier annual technical forum sponsored by the IEEE Intelligent Transportation Systems Society (ITSS). It brings together researchers and practitioners from universities, industry, and government agencies worldwide to share and discuss the latest advances in theory and technology related to intelligent vehicles.
Papers concerning all aspects of intelligent vehicles as well as proposals for workshops and specials sessions are invited for IV2020. Additionally, related technical Demonstrations and Exhibitions are welcome.
Call for papers:
Timeline (Pacific Time) - tentative
November 20, 2019: Proposal for special session/workshop
February 1, 2020: Paper submission deadline
March 14, 2020: Workshop paper submission deadline
April 1, 2020: Paper acceptance notification
April 24, 2020: Workshop paper acceptance notification
May 8, 2020: Early registration deadline / Final Paper Upload Deadline
September 13, 2020: Virtual registration open (until Jan. 31st, 2021)
October 19 – November 13, 2020: Online streaming of highlight session for registered participants
October 19 – January 31, 2021: Access to on-demand content for registered participants