Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Distributed road surface condition monitoring using mobile phones
The pothole patrol: using a mobile sensor network for road surface monitoring
A smartphone based method to enhance road pavement anomaly detection by analyzing the driver behavior
CRSM: Crowdsourcing Based Road Surface Monitoring
Intelligent Pothole Detection and Road Condition Assessment
Lightweight road manager: smartphone-based automatic determination of road damage status by deep neural network
Analyzing Driving and Road Events via Smartphone
Inexpensive Multimodal Sensor Fusion System for Autonomous Data Acquisition of Road Surface Conditions
Pavement Surface Distress Detection and Evaluation Using Image Processing Technology
A first look at vehicle data collection via smartphone sensors
Evaluation Of Pavement Surface Distress Using Digital Image Collection And Analysis
Automatic Detection and Notification of Potholes and Humps on Roads to Aid Drivers
Retrieval Algorithms for Road Surface Modelling Using Laser-Based Mobile Mapping
Road condition analysis using 3-axis accelerometer and GPS sensors
Real time pothole detection using Android smartphones with accelerometers
Cost Effective Surface Disruption Detection System for Paved and Unpaved Roads
Road traffic congestion monitoring and measurement using active RFID and GSM technology
Automated Pothole Detection Using Wireless Sensor Motes
An Early Detection-Warning System to Identify Speed Breakers and Bumpy Roads using Sensors In Smartphones
Identifying and retrieving distress images from road pavement surveys
Sensing vehicle dynamics for determining driver phone use
Measuring the accuracy of diagnostic systems
LSTM-Based Memory Profiling for Predicting Data Attacks in Distributed Big Data Systems
Potentials of Gamification in Learning Management Systems: A Qualitative Evaluation
Fuzzy Sets: Calibration Versus Measurement
Lateral Stabilizing Structures of the Knee: Functional Anatomy and Injuries Assessed with MR Imaging