Synthetic Highway Driving Scenarios Dataset

This dataset provides synthetic, scenario-labeled highway-driving samples generated using CARLA and parametrized by real-world statistics from a portion the MOOVE dataset. Each instance is delivered as a sequence of high-resolution frames and belongs to one of nine highway scenario classes, namely Cut-in, Cut-out, EV Lane Change, Approaching LV, EV pulling away from LV, Following LV, Following distant LV, Free ride, and Brake. The dataset supports research in driving-scenario recognition, automated-driving perception, and simulation-based pre-training. Project page at elios-lab.github.io/synthetic_highway_scenarios/