CARLA

CARLA is a benchmark and simulator used to evaluate autonomous vehicles' interactions with human drivers in diverse geographic areas, focusing on trajectory forecasting and human-robot interactions.

Papers using CARLA (5)

RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility2025Federated Data-Driven Kalman Filtering for State Estimation2024 · 1 citesPersonalized Federated Learning of Driver Prediction Models for Autonomous Driving2021 · 4 citesAccelerating Federated Edge Learning via Topology Optimization2022FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction2024