#Lidar System AI | Artificial Intelligence powered Lidar System
#Ensuring reliable perception of yard truck surroundings
#Detecting both anticipated and unanticipated objects
#Backing trailer to dock precisely with centimeter-level accuracy
#Hitching trailer to truck
#Collaborative autonomy
#Point cloud for autonomous operations
#Electric Autonomous Vehicles
#Navigation within port environments
#AI algorithms | Processing and analyzing lidar data to extract relevant features and information | Recognizing and extracting specific features from point cloud data | Identifying objects | Analyzing spatial patterns and characteristics of points
#Annotation and Classification | Leveraging machine learning techniques | AI models trained on labeled datasets | Models learning to recognize objects automatically
#Object Detection and Segmentation | AI algorithms performing object detection and segmentation | Identifying individual objects | Delineating object boundaries | Autonomous driving | Detecting and tracking vehicles, pedestrians, and obstacles
#Machine Learning and Training | AI models trained using labeled Lidar data | Models learned to recognize patterns, shapes, and semantic information | Predictions and classifications on new, unseen Lidar scans
#Combining Lidar technology with AI
#Automating annotation and analysis of Lidar data
#Interpretation of Lidar point clouds
#Clutter | Irrelevant, redundant, or obstructive object or feature for mapping task | Detecting and removing clutter from raw LiDAR data | Range filters to discard measurements | Semantic filters to label and remove unwanted objects based on their shape or appearance | Temporal filters to track and remove dynamic objects based on their motion | Adjusting pulse width | Grid-based method discretizes space into cells and stores occupancy or probability of each cell | Surface-based method reconstructs geometry or topology of surface from scan points
#Physical perimeter security
#2D LiDAR in perimeter security | Precise detection above or at base of fences | Field of view (FOV) | Creating different zones | Adjusting to different threat levels | Gathers size and speed of movement | Providing exact X,Y coordinates of the intrusion | Giving intelligence to security system to trigger lights, voice alerts, direct video surveillance cameras and security teams to right location
#Lowering dependence on guards
#Lidar Perimeter Volumetric protection
#Imaging vibrometry
#Target accuracy
#Measurement range
#Measurement accuracy
#Angular range
#Vibrometry sampling frequenvy
#Vibrometry max in-band velocity
#Pointer
#Eye safety
#Raw point clouds
#Vector-search
#Semantic search