4 papers
LLM-Assisted Dynamic Threat Analysis for Attacker-Reachable Software Weaknesses in Autonomous Vehicles
Md Wasiul Haque, Sagar Dasgupta, Mizanur Rahman +1
Autonomous vehicles depend on large safety-critical software stacks, where weaknesses reachable from adversarial inputs may affect steering, braking, or other control decisions. St…
Elevation Aware 2D/3D Co-simulation Framework for Large-scale Traffic Flow and High-fidelity Vehicle Dynamics
Chandra Raskoti, Weizi Li
Reliable testing of autonomous driving systems requires simulation environments that combine large-scale traffic modeling with realistic 3D perception and terrain. Existing tools r…
MIAT: Maneuver-Intention-Aware Transformer for Spatio-Temporal Trajectory Prediction
Chandra Raskoti, Iftekharul Islam, Xuan Wang +1
Accurate vehicle trajectory prediction is critical for safe and efficient autonomous driving, especially in mixed traffic environments when both human-driven and autonomous vehicle…
Exploring Transformer-Augmented LSTM for Temporal and Spatial Feature Learning in Trajectory Prediction
Chandra Raskoti, Weizi Li
Accurate vehicle trajectory prediction is crucial for ensuring safe and efficient autonomous driving. This work explores the integration of Transformer based model with Long Short-…