Priv-DATA presented for privacy-aware autonomous-vehicle dataset release
Introduced Priv-DATA, a privacy-aware dataset anonymization tool designed for autonomous-vehicle research workflows and public data release.
This page highlights recent research, publications, datasets, and academic milestones.
Introduced Priv-DATA, a privacy-aware dataset anonymization tool designed for autonomous-vehicle research workflows and public data release.
Published a new preprint on self-supervised plankton classification using DINO features and gradient-based loss re-weighting.
Published a survey on trajectory prediction for autonomous driving, covering progress, open limitations, and future research directions.
Presented an online graph-based local planner for autonomous driving with explicit risk bounds and theoretical guarantees.
Released EMT, a visual multi-task benchmark dataset for autonomous driving in the Arab Gulf region.
Published intelligent control strategies for reducing connected emergency-vehicle travel time through signal preemption and dynamic path planning.
Published an eco-driving framework for autonomous vehicles operating at signalized intersections in mixed traffic.