| NO. | Title | Year | Method | Application | Link |
|---|---|---|---|---|---|
| 1 | Augmented Reality Meets Computer Vision: Efficient Data Generation for Urban Driving Scenes | 2018 | Method-3 Hybrid assets by both data-driven approaches and computer graphics pipelines | Object detection, Segmentation | Paper link |
| 2 | Automatic Dataset Generation From CAD for Vision-Based Grasping | 2021 | Method-2 Virtual assets by computer graphics pipelines | Pose estimation, Visual grasping | Paper link |
| 3 | Digital twin-driven supervised machine learning for the development of artificial intelligence applications in manufacturing | 2020 | Method-2 Virtual assets by computer graphics pipelines | Classification | Paper link |
| 4 | Unlimited Road-scene Synthetic Annotation (URSA) Dataset | 2018 | Method-2 Virtual assets by computer graphics pipelines | Segmentation | Paper link |
| 5 | Adapting Egocentric Visual Hand Pose Estimation Towards a Robot-Controlled Exoskeleton | 2019 | Method-4 Hybrid assets by computer graphics pipelines | Pose estimation | Paper link |
| 6 | A hybrid image dataset toward bridging the gap between real and simulation environments for robotics | 2019 | Method-2 Virtual assets by computer graphics pipelines | Classification | Paper link |
| 7 | Synthetic Examples Improve Generalization for Rare Classes | 2020 | Method-2 Virtual assets by computer graphics pipelines, Method-5 Hybrid assets by cut-paste, Method-7 Real assets by cut-paste | Classification | Paper link |
| 8 | AutonoVi-Sim: Autonomous Vehicle Simulation Platform with Weather, Sensing, and Traffic Control | 2018 | Method-2 Virtual assets by computer graphics pipelines | Classification, Object detection, Navigation | Paper link |
| 9 | Segmentation Learning for Autonomous UAVs using Simulators and Real Data | 2019 | Method-2 Virtual assets by computer graphics pipelines | Segmentation | Paper link |
| 10 | Closing the Reality Gap with Unsupervised Sim-to-Real Image Translation | 2022 | Method-3 Hybrid assets by both data-driven approaches and computer graphics pipelines | Segmentation | Paper link |
| 11 | AirSim-W: A Simulation Environment for Wildlife Conservation with UAVs | 2018 | Method-2 Virtual assets by computer graphics pipelines | Object detection | Paper link |
| 12 | Automated Generation of Synthetic in-Car Dataset for Human Body Pose Detection | 2022 | Method-2 Virtual assets by computer graphics pipelines | Pose estimation, Segmentation | Paper link |
| 13 | BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos | 2020 | Method-2 Virtual assets by computer graphics pipelines | Object detection | Paper link |
| 14 | A generic visual perception domain randomisation framework for Gazebo | 2018 | Method-2 Virtual assets by computer graphics pipelines | Object detection | Paper link |
| 15 | Urban Traffic Surveillance (UTS): A fully probabilistic 3D tracking approach based on 2D detections | 2021 | Method-2 Virtual assets by computer graphics pipelines | Object tracking | Paper link |
| 16 | Learning Driving Models From Parallel End-to-End Driving Data Set | 2020 | Method-2 Virtual assets by computer graphics pipelines | End-to-end autonomous driving | Paper link |
| 17 | Learning Transferable UAV for Forest Visual Perception | 2018 | Method-2 Virtual assets by computer graphics pipelines | Classification | Paper link |
| 18 | GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving | 2021 | Method-6 Real assets by both data-driven approaches and computer graphics pipelines | Segmentation | Paper link |
| 19 | Three-Dimensional Simulation for Training Autonomous Vehicles in Smart City Environments | 2019 | Method-2 Virtual assets by computer graphics pipelines | End-to-end autonomous driving | Paper link |
| 20 | Vision-Based Gesture Recognition in Human-Robot Teams Using Synthetic Data | 2020 | Method-2 Virtual assets by computer graphics pipelines | Classification | Paper link |
| 21 | Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models | 2020 | Method-1 Virtual assets by both data-driven approaches and computer graphics pipelines | Classification | Paper link |
| 22 | Paris-CARLA-3D: A Real and Synthetic Outdoor Point Cloud Dataset for Challenging Tasks in 3D Mapping | 2021 | Method-2 Virtual assets by computer graphics pipelines | Segmentation, Scene completion | Paper link |
| 23 | Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation | 2020 | Method-1 Virtual assets by both data-driven approaches and computer graphics pipelines | Object detection | Paper link |
| 24 | Automatic generation of realistic training data for learning parallel-jaw grasping from synthetic stereo images | 2021 | Method-5 Hybrid assets by cut-paste | Visual grasping | Paper link |
| 25 | A Deep Learning based system for fast detection of obstacles using rear-view camera under parking scenarios | 2021 | Method-2 Virtual assets by computer graphics pipelines | Object detection | Paper link |
| 26 | Performance of LiDAR object detection deep learning architectures based on artificially generated point cloud data from CARLA simulator | 2019 | Method-2 Virtual assets by computer graphics pipelines | Object detection | Paper link |
| 27 | Mid-Air: A Multi-Modal Dataset for Extremely Low Altitude Drone Flights | 2019 | Method-2 Virtual assets by computer graphics pipelines | Depth estimation | Paper link |
| 28 | Bridging the Reality Gap: Investigation of Deep Convolution Neural Networks Ability to Learn from a Combination of Real and Synthetic Data | 2022 | Method-2 Virtual assets by computer graphics pipelines | Classification | Paper link |
| 29 | Physics-Based Dexterous Manipulations with Estimated Hand Poses and Residual Reinforcement Learning | 2020 | Method-2 Virtual assets by computer graphics pipelines | Pose estimation | Paper link |
| 30 | A system for the generation of synthetic Wide Area Aerial surveillance imagery | 2018 | Method-2 Virtual assets by computer graphics pipelines | Object tracking | Paper link |
| 31 | Evaluation of Domain Randomization Techniques for Transfer Learning | 2019 | Method-2 Virtual assets by computer graphics pipelines | Classification | Paper link |
| 32 | Affordance Learning for End-to-End Visuomotor Robot Control | 2019 | Method-2 Virtual assets by computer graphics pipelines | Affordance detection | Paper link |
| 33 | Photorealistic Image Synthesis for Object Instance Detection | 2019 | Method-2 Virtual assets by computer graphics pipelines | Object detection | Paper link |
| 34 | Synthetic data generation using building information models | 2021 | Method-2 Virtual assets by computer graphics pipelines | Segmentation | Paper link |
| 35 | SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction from Video Data | 2021 | Method-2 Virtual assets by computer graphics pipelines | Object detection | Paper link |
| 36 | Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle Perception | 2019 | Method-2 Virtual assets by computer graphics pipelines | Object detection | Paper link |
| 37 | ElderSim: A Synthetic Data Generation Platform for Human Action Recognition in Eldercare Applications | 2020 | Method-2 Virtual assets by computer graphics pipelines | Classification | Paper link |
| 38 | Neural Re-Simulation for Generating Bounces in Single Images | 2019 | Method-3 Hybrid assets by both data-driven approaches and computer graphics pipelines | - | Paper link |
| 39 | Foids: bio-inspired fish simulation for generating synthetic datasets | 2021 | Method-2 Virtual assets by computer graphics pipelines | Object detection | Paper link |
| 40 | Improving Semantic Segmentation of Urban Scenes for Self-Driving Cars with Synthetic Images | 2022 | Method-2 Virtual assets by computer graphics pipelines | Segmentation | Paper link |
| 41 | DISC: A Large-scale Virtual Dataset for Simulating Disaster Scenarios | 2019 | Method-2 Virtual assets by computer graphics pipelines | Segmentation, Depth estimation, Optical flow estimation, Camera relocalizaiton, Surface normal estimation | Paper link |
| 42 | Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks? | 2017 | Method-2 Virtual assets by computer graphics pipelines | Classification | Paper link |
| 43 | Meta-Sim: Learning to Generate Synthetic Datasets | 2019 | Method-1 Virtual assets by both data-driven approaches and computer graphics pipelines | Object detection | Paper link |
| 44 | Urban Environment Simulator for Train Data Generation Toward CV Object Recognition | 2021 | Method-2 Virtual assets by computer graphics pipelines | Object tracking | Paper link |
| 45 | Using synthetic data for person tracking under adverse weather conditions | 2021 | Method-2 Virtual assets by computer graphics pipelines | Object tracking | Paper link |
| 46 | Synthetic Crowd and Pedestrian Generator for Deep Learning Problems | 2020 | Method-2 Virtual assets by computer graphics pipelines | Pose estimation, Object detection, Optical flow estimation, Density estimation | Paper link |
| 47 | Predicting vehicle collisions using data collected from video games | 2021 | Method-2 Virtual assets by computer graphics pipelines | Classification | Paper link |
| 48 | UAV Based Vehicle Detection on Real and Synthetic Image Pairs: Performance Differences and Influence Analysis of Context and Simulation Parameters | 2022 | Method-2 Virtual assets by computer graphics pipelines | Object detection | Paper link |
| 49 | VIVID: Virtual Environment for Visual Deep Learning | 2018 | Method-2 Virtual assets by computer graphics pipelines | Navigation, Autonomous driving, Anomaly detection, Pose estimation | Paper link |
| 50 | Deformation-Aware Data-Driven Grasp Synthesis | 2022 | Method-2 Virtual assets by computer graphics pipelines | Manipulation | Paper link |
| 51 | Using Simulation to Evaluate a Tube Perception Algorithm for Bin Picking | 2022 | Method-2 Virtual assets by computer graphics pipelines | Segmentation | Paper link |
| 52 | Photo-Realistic Simulation of Road Scene for Data-Driven Methods in Bad Weather | 2017 | Method-1 Virtual assets by both data-driven approaches and computer graphics pipelines | Image dehazing | Paper link |
| 53 | AADS: Augmented autonomous driving simulation using data-driven algorithms | 2019 | Method-6 Real assets by both data-driven approaches and computer graphics pipelines | Object detection, Segmentation | Paper link |
| 54 | 2D-Key-Points-Localization-Driven 3D Aircraft Pose Estimation | 2020 | Method-4 Hybrid assets by computer graphics pipelines, Method-5 Hybrid assets by cut-paste | Pose estimation | Paper link |
| 55 | A Large-scale Simulation Dataset: Boost the Detection Accuracy for Special Weather Conditions | 2020 | Method-2 Virtual assets by computer graphics pipelines | Object detection | Paper link |
| 56 | Robotic picking in dense clutter via domain invariant learning from synthetic dense cluttered rendering | 2022 | Method-1 Virtual assets by both data-driven approaches and computer graphics pipelines | Keypoint detection | Paper link |
| 57 | Improving semantic segmentation in urban scenes with a cartographic information | 2018 | Paper link | ||
| 58 | Pose Estimation for Robot Manipulators via Keypoint Optimization and Sim-to-Real Transfer | 2022 | Method-2 Virtual assets by computer graphics pipelines | Segmentation | Paper link |
| 59 | Synthesis of Shaking Video Using Motion Capture Data and Dynamic 3D Scene Modeling | 2018 | Method-2 Virtual assets by computer graphics pipelines | - | Paper link |
| 60 | Instance Segmentation in CARLA: Methodology and Analysis for Pedestrian-oriented Synthetic Data Generation in Crowded Scenes | 2021 | Method-2 Virtual assets by computer graphics pipelines | Depth estimation, Segmentation | Paper link |
| 61 | Wildfire Smoke Classification Based on Synthetic Images and Pixel- and Feature-Level Domain Adaptation | 2021 | Method-1 Virtual assets by both data-driven approaches and computer graphics pipelines | Classification | Paper link |
| 62 | UAV detection with a dataset augmented by domain randomization | 2020 | Method-2 Virtual assets by computer graphics pipelines | Object detection | Paper link |
| 63 | UnrealROX+: An Improved Tool for Acquiring Synthetic Data from Virtual 3D Environments | 2021 | Method-2 Virtual assets by computer graphics pipelines | Hand joint position estimation, 6D pose estimation | Paper link |
| 64 | UnrealROX: an extremely photorealistic virtual reality environment for robotics simulations and synthetic data generation | 2020 | Method-2 Virtual assets by computer graphics pipelines | Stereo depth estimation, Monocular depth estimation, Object detection, Pose estimation, Segmentation, Surface normal estimation, Visual grasping and dexterous manipulation, Robot and hand pose estimation, Obstacle avoidance and navigation | Paper link |
| 65 | Vision-Based Autonomous UAV Navigation and Landing for Urban Search and Rescue | 2022 | Method-2 Virtual assets by computer graphics pipelines | Navigation | Paper link |
| 66 | Synthetic dataset for compositional learning | 2018 | Method-2 Virtual assets by computer graphics pipelines | - | Paper link |
| 67 | homer@UniKoblenz: Winning Team of the RoboCup Virtual @Home Open Platform League 2021 | 2022 | Method-2 Virtual assets by computer graphics pipelines | Object detection, Pose estimation | Paper link |
| 68 | A Photorealistic Terrain Simulation Pipeline for Unstructured Outdoor Environments | 2021 | Method-2 Virtual assets by computer graphics pipelines | Segmentation, Visual SLAM | Paper link |
| 69 | Sim4CV: A Photo-Realistic Simulator for Computer Vision Applications | 2018 | Method-2 Virtual assets by computer graphics pipelines | Object tracking, Navigation | Paper link |
| 70 | Teaching UAVs to Race: End-to-End Regression of Agile Controls in Simulation | 2019 | Method-2 Virtual assets by computer graphics pipelines | UAV control | Paper link |
| 71 | A Multi-Layered Approach for Measuring the Simulation-to-Reality Gap of Radar Perception for Autonomous Driving | 2021 | Method-2 Virtual assets by computer graphics pipelines | Radar perception for autonomous driving | Paper link |
| 72 | Synthetic Radar Dataset Generator for Macro-Gesture Recognition | 2021 | Method-2 Virtual assets by computer graphics pipelines | Macro-Gesture Recognition | Paper link |
| 73 | Instance Segmentation by Semi-Supervised Learning and Image Synthesis | 2020 | Method-5 Hybrid assets by cut-paste | Instance segmentation | Paper link |
| 74 | Human Pose Recognition under Cloth-like Objects from Depth Images using a Synthetic Image Dataset with Cloth Simulation | 2021 | Method-2 Virtual assets by computer graphics pipelines | Human pose estimation recognition under cloth-like objects | Paper link |
| 75 | Simulation-Based Reinforcement Learning for Real-World Autonomous Driving | 2020 | Method-2 Virtual assets by computer graphics pipelines | Autonomous driving | Paper link |
| 76 | Evaluation of a technique to simulate LiDAR image datasets for training a machine learning-based image enhancement algorithm | 2021 | Method-2 Virtual assets by computer graphics pipelines | Image enhancement | Paper link |
| 77 | EKF-Based Real-Time Self-Attitude Estimation With Camera DNN Learning Landscape Regularities | 2021 | Method-2 Virtual assets by computer graphics pipelines | Gravity direction prediction | Paper link |
| 78 | LiDAR DNN based self-attitude estimation with learning landscape regularities | 2021 | Method-2 Virtual assets by computer graphics pipelines | Gravity direction prediction | Paper link |
| 79 | A Gamified Simulator and Physical Platform for Self-Driving Algorithm Training and Validation | 2021 | Method-2 Virtual assets by computer graphics pipelines | Autonomous driving | Paper link |
| 80 | Simulation-Based Data Augmentation for the Quality Inspection of Structural Adhesive With Deep Learning | 2021 | Method-2 Virtual assets by computer graphics pipelines | Defect inspection | Paper link |
| 81 | Synthetic data generation for optical flow evaluation in the neurosurgical domain | 2021 | Method-5 Hybrid assets by cut-paste | Scene understanding for microscope video | Paper link |
| 82 | Automatic Generation of Point Cloud Synthetic Dataset for Historical Building Representation | 2019 | Method-2 Virtual assets by computer graphics pipelines | Point cloud classification | Paper link |
| 83 | Stereo Camera Simulation in Blender | 2021 | Method-2 Virtual assets by computer graphics pipelines | 3D reconstruction | Paper link |
| 84 | Designing a Simulation Platform for Generation of Synthetic Videos for Human Activity Recognition | 2019 | Method-2 Virtual assets by computer graphics pipelines | Human activity recognition | Paper link |
| 85 | UnrealGT: Using Unreal Engine to Generate Ground Truth Datasets | 2019 | Method-2 Virtual assets by computer graphics pipelines | Object detection, Visual SLAM | Paper link |
| 86 | RP-VIO: Robust Plane-based Visual-Inertial Odometry for Dynamic Environments | 2021 | Method-2 Virtual assets by computer graphics pipelines | Vsual-inertial navigation | Paper link |
| 87 | Spatio-Temporal Look-Ahead Trajectory Prediction using Memory Neural Network | 2021 | Method-2 Virtual assets by computer graphics pipelines | Trajectory prediction | Paper link |
| 88 | Playing for Benchmarks | 2017 | Method-2 Virtual assets by computer graphics pipelines | Object detection, Semantic segmentation, Optical flow estimation | Paper link |
| 89 | Mapping Infected Crops Through UAV Inspection: The Sunflower Downy Mildew Parasite Case | 2019 | Method-2 Virtual assets by computer graphics pipelines | Detection of parasites on the crops | Paper link |
| 90 | Vision-Based Multirotor Following Using Synthetic Learning Techniques | 2019 | Method-2 Virtual assets by computer graphics pipelines | Vision-based autonomous following of multirotor | Paper link |
| 91 | EasyPBR: A Lightweight Physically-based Renderer | 2022 | Method-2 Virtual assets by computer graphics pipelines | Drone detection | Paper link |
| 92 | Towards Learning 3d Object Detection and 6d Pose Estimation from Synthetic Data | 2019 | Method-5 Hybrid assets by cut-paste, Method-2 Virtual assets by computer graphics pipelines | 3D object detection, 6D pose estimation | Paper link |
| 93 | Estimation of Absolute Scale in Monocular SLAM Using Synthetic Data | 2019 | Method-2 Virtual assets by computer graphics pipelines | Scale estimation in monocular SLAM | Paper link |
| 94 | Effective Use of Synthetic Data for Urban Scene Semantic Segmentation | 2018 | Method-2 Virtual assets by computer graphics pipelines | Urban scene semantic segmentation | Paper link |
| 95 | Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data | 2019 | Method-2 Virtual assets by computer graphics pipelines | Human body casualty detection | Paper link |
| 96 | Sim-to-Real for High-Resolution Optical Tactile Sensing: From Images to Three-Dimensional Contact Force Distributions | 2021 | Method-2 Virtual assets by computer graphics pipelines | Optical tactile sensing | Paper link |
| 97 | Unsupervised Learning of Depth and Ego-Motion from Cylindrical Panoramic Video with Applications for Virtual Reality | 2020 | Method-2 Virtual assets by computer graphics pipelines | Depth estimation, Ego-motion estimation | Paper link |
| 98 | RarePlanes: Synthetic Data Takes Flight | 2021 | Method-2 Virtual assets by computer graphics pipelines | Aircraft detection | Paper link |
| 99 | Robustness enhancement of machine fault diagnostic models for railway applications through data augmentation | 2022 | Method-2 Virtual assets by computer graphics pipelines | Machine fault dignosis | Paper link |
| 100 | Paper link | ||||
| 101 | Multi-Modal Depth Estimation Using Convolutional Neural Networks | 2020 | Method-2 Virtual assets by computer graphics pipelines | Estimation of the distance between the crane boom and the ground | Paper link |
| 102 | Using a Game Engine to Simulate Critical Incidents and Data Collection by Autonomous Drones | 2018 | Method-2 Virtual assets by computer graphics pipelines | Mapping | Paper link |
| 103 | 2018 | Paper link | |||
| 104 | Synthetic Generation of Passive Infrared Motion Sensor Data Using a Game Engine | 2021 | Method-2 Virtual assets by computer graphics pipelines | Occupancy count | Paper link |
| 105 | GeneSIS-Rt: Generating Synthetic Images for Training Secondary Real-World Tasks | 2018 | Method-1 Virtual assets by both data-driven approaches and computer graphics pipelines | Obstacle avoidance | Paper link |
| 106 | 2022 | Paper link | |||
| 107 | Automated Gain Control Through Deep Reinforcement Learning for Downstream Radar Object Detection | 2021 | Method-2 Virtual assets by computer graphics pipelines | Radar object detection | Paper link |
| 108 | The virtual training platform for computer vision | 2020 | Method-2 Virtual assets by computer graphics pipelines | Object detection | Paper link |
| 109 | Evaluating Validity of Synthetic Data in Perception Tasks for Autonomous Vehicles | 2020 | Method-2 Virtual assets by computer graphics pipelines | Object detection in road scenes | Paper link |
| 110 | Aerial Single-View Depth Completion With Image-Guided Uncertainty Estimation | 2020 | Method-4 Hybrid assets by computer graphics pipelines | Aerial single-view depth completion | Paper link |
| 111 | Training and testing object detectors with virtual images | 2018 | Method-2 Virtual assets by computer graphics pipelines | Object detection | Paper link |
| 112 | Visual Navigation Among Humans With Optimal Control as a Supervisor | 2021 | Method-4 Hybrid assets by computer graphics pipelines | Visual navigation | Paper link |
| 113 | Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization | 2018 | Method-2 Virtual assets by computer graphics pipelines | Object detection | Paper link |
| 114 | Synthetic Humans for Action Recognition from Unseen Viewpoints | 2021 | Method-5 Hybrid assets by cut-paste | Action recognition | Paper link |
| 115 | Simulation Environment for Neural Network Dataset Generation | 2022 | Method-2 Virtual assets by computer graphics pipelines | - | Paper link |
| 116 | Automatic Generation of Synthetic LiDAR Point Clouds for 3-D Data Analysis | 2019 | Method-2 Virtual assets by computer graphics pipelines | Semantic segmentation | Paper link |
| 117 | 6D Pose Estimation for Bin-Picking based on Improved Mask R-CNN and DenseFusion | 2021 | Method-2 Virtual assets by computer graphics pipelines | 6D pose estimation, Instance segmentation | Paper link |
| 118 | USVs-Sim: A general simulation platform for unmanned surface vessels autonomous learning | 2022 | Method-2 Virtual assets by computer graphics pipelines | Unmanned surface vessels autonomous navigation | [Paper link](USVs-Sim: A general simulation platform for unmanned surface vessels autonomous learning) |
| 119 | Target Detection Based on Simulated Image Domain Migration | 2020 | Method-3 Hybrid assets by both data-driven approaches and computer graphics pipelines | Object detection | Paper link |
| 120 | Deep learning for automatic target recognition with real and synthetic infrared maritime imagery | 2020 | Method-2 Virtual assets by computer graphics pipelines | Object detection in infrared maritime imagery | Paper link |
| 121 | SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud | 2019 | Paper link | ||
| 122 | Progressive Data Augmentation Method for Remote Sensing Ship Image Classification Based on Imaging Simulation System and Neural Style Transfer | 2021 | Paper link | ||
| 123 | DSNet: Deep Shadow Network for Illumination Estimation | 2021 | Paper link | ||
| 124 | ViRFD: a virtual-realistic fused dataset for rock size analysis in TBM construction | 2022 | Paper link | ||
| 125 | Learning to Simulate Complex Scenes for Street Scene Segmentation | 2022 | Paper link | ||
| 126 | Cross-View Action Recognition Using View-Invariant Pose Feature Learned from Synthetic Data with Domain Adaptation | 2019 | Paper link | ||
| 127 | Manual-Label Free 3D Detection via An Open-Source Simulator | 2021 | Paper link | ||
| 128 | A LiDAR Point Cloud Generator: from a Virtual World to Autonomous Driving | 2018 | Paper link | ||
| 129 | Small target detection for search and rescue operations using distributed deep learning and synthetic data generation | 2019 | Paper link | ||
| 130 | HOIsim: Synthesizing Realistic 3D Human-Object Interaction Data for Human Activity Recognition | 2021 | Paper link | ||
| 131 | Synthetic Image Generation Using the Finite Element Method and Blender Graphics Program for Modeling of Vision-Based Measurement Systems | 2021 | Paper link | ||
| 132 | Simulation of Atmospheric Visibility Impairment | 2021 | Paper link | ||
| 133 | Research on simulated infrared image utility evaluation using deep representation | 2018 | Paper link | ||
| 134 | An Efficient Method to Recover Relative Pose for Vehicle-Mounted Cameras Under Planar Motion | 2021 | Paper link | ||
| 135 | Generation of Synthetic Images of Randomly Stacked Object Scenes for Network Training Applications | 2021 | Paper link | ||
| 136 | ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation | 2021 | Paper link | ||
| 137 | CRAVES: Controlling Robotic Arm with a Vision-based Economic System | 2019 | Paper link | ||
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