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Comprehensive Simulation of Quadrotor UAVs Using ROS and Gazebo

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Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier CertificatesPreprint

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iADA*-RL: Anytime Graph-Based Path Planning with Deep Reinforcement Learning for an Autonomous UAV

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BIM-supported scan and flight planning for fully autonomous LiDAR-carrying UAVs

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Machine Learning and Physics: A Survey of Integrated Models

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Aerial Person Detection for Search an d Rescue: Survey and Benchmarks

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A UAV-assisted CH election framework for secure data collection in wireless sensor networks

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Onboard Detection and Localization of Drones Using Depth Maps

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VTOL UAV digital twin for take-off, hovering and landing in different wind conditions

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MARL Sim2real Transfer: Merging Physical Reality With Digital Virtuality in Metaverse

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Drone Detection Using Depth Maps

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Decision-Making System for Lane Change Using Deep Reinforcement Learning in Connected and Automated Driving

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Quantum distributed deep learning architectures: Models, discussions, and applications

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Safe-Control-Gym: A Unified Benchmark Suite for Safe Learning-Based Control and Reinforcement Learning in Robotics

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Decentralized cooperative crossing at unsignalized intersections via vehicle-to-vehicle communication in mixed traffic flows

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Knowledge-Augmented Deep Learning and its Applications: A Survey

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DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction

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Obstacle Avoidance Drone by Deep Reinforcement Learning and Its Racing with Human Pilot

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A Survey of Image Synthesis Methods for Visual Machine Learning

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Vision Based Drone Obstacle Avoidance by Deep Reinforcement Learning

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Flying Through a Narrow Gap Using End-to-End Deep Reinforcement Learning Augmented With Curriculum Learning and Sim2Real

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Development of a cyber-physical-system perspective based simulation platform for optimizing connected automated vehicles dedicated lanes

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Modeling Wind and Obstacle Disturbances for Effective Performance Observations and Analysis of Resilience in UAV Swarms

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Watch out! Motion is Blurring the Vision of Your Deep Neural NetworksPreprint

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On-Board Deep-Learning-Based Unmanned Aerial Vehicle Fault Cause Detection and Classification via FPGAs

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OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control

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Double Deep Q-Learning and Faster R-CNN-Based Autonomous Vehicle Navigation and Obstacle Avoidance in Dynamic Environment

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Traffic Sensory Data Classification by Quantifying Scenario Complexity

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Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations

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Integrated simulation platform for conventional, connected and automated driving: A design from cyber–physical systems perspective

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The StreetLearn Environment and DatasetPreprint

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Air Learning: a deep reinforcement learning gym for autonomous aerial robot visual navigation

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Can Offline Testing of Deep Neural Networks Replace Their Online Testing?

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Drone Elevation Control Based on Python-Unity Integrated Framework for Reinforcement Learning Applications

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Orientation- and Scale-Invariant Multi-Vehicle Detection and Tracking from Unmanned Aerial Videos

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Your head is there to move you around: Goal-driven models of the primate dorsal pathwayPreprint

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Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidance

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Toward Human-Centered Automated Driving: A Novel Spatiotemporal Vision Transformer-Enabled Head Tracker

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Comparative Analysis of ROS-Unity3D and ROS-Gazebo for Mobile Ground Robot Simulation

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Learning to Fly in Seconds

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Vision-Based Learning for Drones: A Survey

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Towards dynamic safety assurance for Industry 4.0

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Lifelong Graph Learning

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Learning to Map Natural Language Instructions to Physical Quadcopter Control using Simulated FlightPreprint

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AsFault: Testing Self-Driving Car Software Using Search-Based Procedural Content Generation

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Real-Time UAV Path Planning for Autonomous Urban Scene Reconstruction

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Software-in-the-loop simulation for improving flight control system design: a quadrotor case study

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Exploration and Mapping with Groups of Robots: Recent Trends

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ImMesh: An Immediate LiDAR Localization and Meshing Framework

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Following High-level Navigation Instructions on a Simulated Quadcopter with Imitation Learning

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Exploring Applications of Deep Reinforcement Learning for Real-world Autonomous Driving Systems

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VALID: A Comprehensive Virtual Aerial Image Dataset

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Towards learning-based planning: The nuPlan benchmark for real-world autonomous driving

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Adversarial Driving: Attacking End-to-End Autonomous Driving

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Flying through a narrow gap using neural network: an end-to-end planning and control approach

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Automotive Lidar Modelling Approach Based on Material Properties and Lidar Capabilities

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ROS-NetSim: A Framework for the Integration of Robotic and Network Simulators

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A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity SimulationPreprint

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A Digital Twin Simulation Platform for Multi-rotor UAV

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Designing UAV Swarm Experiments: A Simulator Selection and Experiment Design Process

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Synthetic Data for Deep Learning in Computer Vision & Medical Imaging: A Means to Reduce Data Bias

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Pose Estimation for Objects with Rotational Symmetry

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Resilient composition of drone services for delivery

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TELECARLA: An Open Source Extension of the CARLA Simulator for Teleoperated Driving Research Using Off-the-Shelf Components

Hofbauer, M., Kuhn, C. B., Petrović, G., & Steinbach, E. G. (2020) · IEEE Intelligent Vehicles Symposium · doi:10.1109/iv47402.2020.9304676 · Cited by 45

A Vision Based Deep Reinforcement Learning Algorithm for UAV Obstacle Avoidance

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Critical scenario identification for realistic testing of autonomous driving systems

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A Survey of Integrated Simulation Environments for Connected Automated Vehicles: Requirements, Tools, and Architecture

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Autonomous drone hunter operating by deep learning and all-onboard computations in GPS-denied environments

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Learning To SimulatePreprint

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A Survey on Physical Adversarial Attack in Computer VisionPreprint

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VOILA: Visual-Observation-Only Imitation Learning for Autonomous Navigation

Karnan, H., Warnell, G., Xiao, X., & Stone, P. (2022) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra46639.2022.9812316 · Cited by 42

Sim-to-real transfer and reality gap modeling in model predictive control for autonomous driving

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A 2D/3D multimodal data simulation approach with applications on urban semantic segmentation, building extraction and change detection

Reyes, M. F., Xie, Y., Yuan, X., d’Angelo, P., Kurz, F., Cerra, D., & Tian, J. (2023) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2023.09.013 · Cited by 43

Autonomous Advanced Aerial Mobility—An End-to-End Autonomy Framework for UAVs and Beyond

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A Comprehensive Review on Deep Learning-Based Motion Planning and End-to-End Learning for Self-Driving Vehicle

Ganesan, M., Kandhasamy, S., Bharatiraja, C., & Mihet‐Popa, L. (2024) · IEEE Access · doi:10.1109/access.2024.3394869 · Cited by 57

Virtual Tools for Testing Autonomous Driving: A Survey and Benchmark of Simulators, Datasets, and Competitions

Zhang, T., Liu, H., Wang, W., & Wang, X. (2024) · Electronics · doi:10.3390/electronics13173486 · Cited by 44

Reward-driven U-Net training for obstacle avoidance drone

Shin, S., Kang, Y.-W., & Kim, Y.-G. (2019) · Expert Systems with Applications · doi:10.1016/j.eswa.2019.113064 · Cited by 41

Simulation Credibility Assessment Methodology With FPGA-based Hardware-in-the-Loop Platform

Dai, X., Ke, C., Quan, Q., & Cai, K. (2020) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2020.2982122 · Cited by 43

Autonomous Quadcopter Landing on a Moving Target

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Reinforcement learning-based drone simulators: survey, practice, and challenge

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Toward Adaptive Driving Styles for Automated Driving with Users' Trust and Preferences

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Mutual Alignment Transfer LearningPreprint

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VCANet: Vanishing-Point-Guided Context-Aware Network for Small Road Object Detection

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Autonomous driving testing scenario generation based on in-depth vehicle-to-powered two-wheeler crash data in China

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Vision-Based Deep Reinforcement Learning of Unmanned Aerial Vehicle (UAV) Autonomous Navigation Using Privileged Information

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Monocular Depth Estimation Through Virtual-World Supervision and Real-World SfM Self-Supervision

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Comparison of Agent-based Simulation Frameworks for Unmanned Aerial Transportation Applications

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CrazyS: A Software-In-The-Loop Platform for the Crazyflie 2.0 Nano-Quadcopter

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Shot type constraints in UAV cinematography for autonomous target tracking

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Distributed Robotic Systems in the Edge-Cloud Continuum with ROS 2: a Review on Novel Architectures and Technology Readiness

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CATER: A diagnostic dataset for Compositional Actions & TEmporal Reasoning

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Integrated moment-based LGMD and deep reinforcement learning for UAV obstacle avoidance

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Hindsight Intermediate Targets for Mapless Navigation With Deep Reinforcement Learning

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