Work Highlights

Focuses on predicting both risky and safe lane changes using a novel approach combining Knowledge Graphs and Bayesian inference.
Utilizes CARLA simulator for collecting the CRASH (CARLA Risky-lane-change Anticipation in Simulated Highways) dataset.
Achieves 91.5% f1-score for risky lane changes with anticipation time that extends to 4 seconds.
Attains 90.0% f1-score for safe lane changes with anticipation time that extends to 4 seconds.
Successfully validated the prediction of sudden lane changes in CARLA simulation environments.
Implements Retrieval Augmented Generation (RAG) for explainable predictions.

Designed Knowledge Graph

Click the button below to view additional supplementary video demonstrations.