Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Automatic Crack Detection and Segmentation Using a Hybrid Algorithm for Road Distress Analysis
Automatic inspection of pavement cracking distress
Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks
Identifying and retrieving distress images from road pavement surveys
Road lane segmentation using dynamic programming for active safety vehicles
Illuminant-invariant model-based road segmentation
A general framework for road marking detection and analysis
Road anomaly estimation: Model based pothole detection
An Integrated Approach of Automatic Road Extraction and Evaluation From Remotely Sensed Imagery
A Genetic Algorithm for Convolutional Network Structure Optimization for Concrete Crack Detection
Review and Analysis of Pothole Detection Methods
A smartphone based method to enhance road pavement anomaly detection by analyzing the driver behavior
A test of automatic road extraction approaches
Recent progress in road and lane detection: a survey
Automatic Detection and Notification of Potholes and Humps on Roads to Aid Drivers
A Novel Approach to Automatic Road-Accident Detection using Machine Vision Techniques
Color detection and segmentation for road and traffic signs
A Hybrid Method to Detect and Verify Vehicle Crash with Haar-Like Features and SVM Over the Web
Evolution of railway track crack detection system
Computer vision based detection and localization of potholes in asphalt pavement images
An efficient algorithm for pothole detection using stereo vision
Optimize MinMax algorithm to solve Blokus Duo game by HDL
Organic matter mineralization with reduction of ferric iron in anaerobic sediments.
Finding needles in the haystack: search and candidate generation
C4.5, Class Imbalance, and Cost Sensitivity: Why Under-Sampling beats Over-Sampling
Determining Optical Flo w