Marco Pavone

Latest

• PARA-Drive: Parallelized Architecture for Real-time Autonomous Driving
• Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention
• Driving Everywhere with Large Language Model Policy Adaptation
• InstantSplat: Unbounded Sparse-view Pose-free Gaussian Splatting in 40 Seconds
• Parallelized Spatiotemporal Binding
• Producing and Leveraging Online Map Uncertainty in Trajectory Prediction
• RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios
• A Language Agent for Autonomous Driving
• Dolphins: Multimodal Language Model for Driving
• Categorical Traffic Transformer: Interpretable and Diverse Behavior Prediction with Tokenized Latent
• EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
• Partial-View Object View Synthesis via Filtered Inversion
• trajdata: A Unified Interface to Multiple Human Trajectory Datasets
• PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction
• Language-Guided Traffic Simulation via Scene-Level Diffusion
• Language Conditioned Traffic Generation
• Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors
• DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving
• Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation Maps
• Interactive Joint Planning for Autonomous Vehicles
• Reinforcement Learning with Human Feedback for Realistic Traffic Simulation
• Verification and Synthesis of Robust Control Barrier Functions: Multilevel Polynomial Optimization and Semidefinite Relaxation
• Interpretable Trajectory Prediction for Autonomous Vehicles via Counterfactual Responsibility
• Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models
• Task-Aware Risk Estimation of Perception Failures for Autonomous Vehicles
• Refining Obstacle Perception Safety Zones via Maneuver-Based Decomposition
• FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization
• Object Pose Estimation with Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation
• Learning Autonomous Vehicle Safety Concepts from Demonstrations
• BITS: Bi-level Imitation for Traffic Simulation
• Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning
• Guided Conditional Diffusion for Controllable Traffic Simulation
• Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models
• Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles
• Tree-structured Policy Planning with Learned Behavior Models
• Robust and Controllable Object-Centric Learning through Energy-based Models
• Robust Trajectory Prediction against Adversarial Attacks
• DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles
• Task-Relevant Failure Detection for Trajectory Predictors in Autonomous Vehicles
• AdvDO: Realistic Adversarial Attacks for Trajectory Prediction
• Towards Data-Driven Synthesis of Autonomous Vehicle Safety Concepts
• Propagating State Uncertainty Through Trajectory Forecasting
• ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning
• Whose Track Is It Anyway? Improving Robustness to Tracking Errors with Affinity-Based Prediction
• Interaction-Dynamics-Aware Perception Zones for Obstacle Detection Safety Evaluation
• MTP: Multi-Hypothesis Tracking and Prediction for Reduced Error Propagation
• Injecting Planning-Awareness into Prediction and Detection Evaluation
• Rethinking Trajectory Forecasting Evaluation