LiRaFusion is a technique proposed to improve 3D object detection in autonomous vehicles by fusing LiDAR and radar data. It combines an early fusion module for joint voxel feature encoding,…
Continue readingThis research presents a new framework for adaptive stress testing (AST) of autonomous vehicles (AVs). The study emphasizes the importance of ensuring the safety of AVs for their widespread adoption…
Continue readingThe article presents LLaDA, a tool that enables autonomous vehicles and human drivers to adapt to different traffic rules in new environments. LLaDA leverages the capabilities of large language models…
Continue readingThe paper discusses the challenges of optimizing the cost function parameters of Model Predictive Control (MPC) for autonomous vehicles. The authors propose using Reinforcement Learning (RL) to learn optimal parameter…
Continue readingThis paper proposes a system that utilizes Vehicle-to-Everything (V2X) technology for autonomous vehicles to exchange data and make real-time decisions. The system also operates a federated learning scheme to create…
Continue readingThe study focuses on the development of an attack-resilient Generative Adversarial Network (AR-GAN) for traffic sign classification in autonomous vehicles (AVs). AVs rely on Deep Neural Network (DNN)-based systems to…
Continue readingAVs utilize deep neural network (DNN)-based classification systems to identify traffic signs. However, these models are susceptible to adversarial attacks that can cause misclassification by introducing slight perturbations to an…
Continue readingThe article discusses AR-GAN, a Generative Adversarial Network-based defense method against adversarial attacks on the Traffic Sign Classification System of Autonomous Vehicles. The AR-GAN classification system includes a generator that…
Continue readingThe article focuses on evaluating real-time safety metrics for automated driving systems. It highlights the necessity of these metrics in assessing risk and aiding decision-making in driving situations. The study…
Continue readingThe article discusses a study aimed at understanding pedestrian perceptions of Autonomous Vehicles (AVs) during unmarked midblock multilane crossings. The study used Virtual Reality (VR) to simulate different AV behaviors…
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