ETRI-Knowledge Sharing Plaform

Autonomous Vehicle Light Detection And Ranging(LiDAR) State-Of-The-Art High Definition Digital Map Real-Time Generative Adversarial Network Deep Neural Network(DNN) Vehicle Localization Point Clouds Sensor Data Machine Learning Lidar Sensors Execution Time Range Image Ego-Motion Estimation Technical Requirement Road Marking Semantic Segmentation Network Framework Object Recognition Research Institute Control Systems Detection And Classification Excellent Performance In-Vehicle Sensors Information Technology Lidar Data Map Matching Map-Based System Framework Vision-Based Method Rotation Error Sensor Fusion Conventional Techniques Extended Kalman Filter Environmental Recognition Geographic Information System High-Precision Location Information(GPS) Localization Techniques Line Segmentation Spherical Image Sensing Data Processing Time Visual Odometry Three-Dimensional Point Cloud Republic Of Korea Driving Intention Deep Learning(DL) Feature Extraction Techniques Geometric Correction Image Feature Image Plane Image Datasets Low Reflectance Planning And Control Planar Motion Point Sampling Level 3 Learning Evaluation Model-Based Matching Model Noise Filtering Sampling Method Semantic Information Path Generation Vision-Based Localization Unmanned Vehicles Automotive Industry Auto-Calibration Car-Sharing Classification Method Dynamic Object Detection Implementation Method Information Systems(IS) Key Points Light Conditions Moving Object Detection Motion Model Multiple Paths Simultaneous Localization And Mapping Single Core Performance Degradation Position And Orientation Noise Removal Art Performance Detection Model Geometrical Shapes Learning Methods Matching Technology Mathematical Analysis Particle Filters Proposed Model Vehicle Technology Two-Dimensional Image Autonomous Driving Vehicle Accuracy And Diversity Adverse Weather Conditions Correction Method Computer Vision(CV) Driving Environment Execution Speed Enhanced Accuracy Generative Models High Reliability Interaction Model Location Errors Local Path Planning Matching Techniques Time Precision Optimization Methods Translation Errors Accuracy And Efficiency Color Information Continuous Improvements De-Noising Fast Optimization Inverse Perspective Mapping