Sertac Karaman

Latest Publications

• Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation
• Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving
• Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks
• A Deep Concept Graph Network for Interaction-Aware Trajectory Prediction
• Learning Interactive Driving Policies via Data-driven Simulation
• VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles
• Learning An Explainable Trajectory Generator Using The Automaton Generative Network (AGN)
• Vehicle Trajectory Prediction Using Generative Adversarial Network with Temporal Logic Syntax Tree Features
• Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space
• Differentiable Logic Layer for Rule Guided Trajectory Prediction
• Deep Context Maps: Agent Trajectory Prediction using Location-specific Latent Maps
• Deep Orientation Uncertainty Learning based on a Bingham Loss
• Learning Robust Control Policies for End-to-End Autonomous Driving from Data-Driven Simulation
• Infrastructure-free NLoS Obstacle Detection for Autonomous Cars
• Range-based Cooperative Localization with Nonlinear Observability Analysis
• Probabilistic Risk Metrics for Navigating Occluded Intersections
• ShadowCam: Real-Time Detection of Moving Obstacles behind a Corner for Autonomous Vehicles
• Sampling-Based Approximation Algorithms for Reachability Analysis with Provable Guarantees