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YOLOv7 Deep Learning Model for Pavement Crack Detection Using Close Range Photogrammetry Dataset.
Video target tracking by using competitive neural networks
Vehicle detection systems for intelligent driving using deep convolutional neural networks
Vehicle Detection Method Based on ADE-YOLOV3 Algorithm
Vehicle detection in driving simulation using extreme learning machine
Vehicle Detection, Counting, and Classification System based on Video using Deep learning Models
Using ultrasound images of the forearm to predict finger positions
Using Object Affordances to Improve Object Recognition
Using Classifier System with / without Genetic Algorithm in Robotics Behaviors
Transferring knowledge as heuristics in reinforcement learning: A case-based approach
Traffic sign recognition using evolutionary Adaboost detection and forest-ECOC classification
Traffic accident analysis using machine learning paradigms
Towards lifelong assistive robotics: a tight coupling between object perception and manipulation
Toward autonomous driving: the CMU Navlab. II. Architecture and systems
To Perform Road Signs Recognition for Autonomous Vehicles Using Cascaded Deep Learning Pipeline
Tool Use Learning for a Real Robot