ASI Webinar |Tadashi Ebihara | Underwater Acoustic Communication and Positioning in Shallow Waters

Register NOW for the webinar: CLICK ME Date: 10th March 2025Time (specify time zone): 15:30 PM (CEST)Speaker’s Name(s): Dr. Tadashi EbiharaSpeaker’s Affiliation: Associate Professor, University of Tsukuba, Japan Abstract This study addresses the challenges of underwater acoustic (UWA) communication and

ASI Webinar | John Subosits | Uncertainty-Aware Modelling and Control for Driving at the Limits of Handling

Date: 22nd October 2024Time (specify time zone): 17:00 PM (CEST)Speaker’s Name(s): Dr. John SubositsSpeaker’s Affiliation: TOYOTA RESEARCH INSTITUTE Register NOW for the webinar: CLICK ME Abstract Human drivers skilled in motorsports disciplines such as circuit racing, drifting, and rally, display

IEEE ASI Webinar: Road to Cost Effective Driver and Occupant Monitoring Systems for Safe (Semi-) Autonomous Vehicles (Dr. Jude Angelo Ambrose)

Date: 26 March 2024Time (specify time zone):  02:00 PM (CET)Speaker’s Name(s): Dr. Jude Angelo AmbroseSpeaker’s Affiliation: Head of Advanced Embedding, Seeing Machines, Australia Register NOW for the webinar: CLICK ME Abstract Based on the recent tragic incidents with Level 2 and Level 3

IEEE ASI Webinar: Midlevel Representations and Domain Specific Geometric Estimation in Computer Vision (Dr. M. Oskarsson)

Date: 27 February 2024Time (specify time zone):  04:00 PM (CET)Speaker’s Name(s): Dr. Magnus OskarssonSpeaker’s Affiliation: Associate professor, Lund University, Sweden. Register NOW for the webinar: CLICK ME Abstract The world is a complex place. In order to make sense of it, we as

IEEE ASI Webinar: Cooperative Perception “All at Once” with OpenCDA (Prof. J.Ma)

IEEE ASI Webinar: Cooperative Perception “All at Once” with OpenCDA (Prof. J.Ma)

Prof. Jiaqi MaUCLA, Samueli School of Engineering Email: jiaqima@ucla.edu Website: https://samueli.ucla.edu/people/jiaqi-ma/ Register NOW for the webinar: CLICK ME Abstract In this presentation, the latest advancements in Vehicle-to-Vehicle (V2V) and Vehicle-to-Everything (V2X) cooperative perception aimed at enhancing the safety and efficiency