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WiTraffic: Low-Cost and Non-Intrusive Traffic Monitoring System Using WiFi
TLDR
WiTraffic is the first WiFi-based traffic monitoring system that is non-intrusive, cost- effective, and easy-to-deploy and a machine learning technique is adopted to train vehicle classification models and efficiently categorize vehicles.
Augmenting User Identification with WiFi Based Gesture Recognition
TLDR
WiID, a WiFi and gesture based user identification system that can identify the user as soon as he/she performs a predefined gesture at runtime, is proposed and implemented and extensively evaluated.
Enabling energy-efficient driving route detection using built-in smartphone barometer sensor
TLDR
This paper designs, implements, and evaluates a mobile system that effectively captures significant journeys based solely on the embedded barometer sensor of a smartphone that is position/orientation independent and exceptionally energy efficient compared to other power-hungry sensors like gyroscopes and GPS units.
Evaluating Relationships between Perception-Reaction Times, Emergency Deceleration Rates, and Crash Outcomes using Naturalistic Driving Data
TLDR
This research developed predictive models for PRT and deceleration rate that could be used for roadway design and indicated that minimum design SSD values would increase by 10.5–129.2 ft, dependent on the design speed and SSD model used.
Identification and Calculation of Horizontal Curves for Low-Volume Roadways Using Smartphone Sensors
TLDR
A low-cost mobile road inventory system for two-lane horizontal curves based on off-the-shelf smartphones capable of accurately detecting horizontal curves by exploiting a K-means machine learning technique and achieves high curve identification accuracy as well as high accuracy for calculating curve radius and superelevation.
WiTraffic: Non-intrusive Vehicle Classification Using WiFi: Poster Abstract
TLDR
This work implemented WiTraffic with off-the-shelf WiFi devices and performed real-world experiments with over a week of field data collection, showing that the classification accuracy is around 96%.
Avoiding Roadway Departure Crashes with an In-Vehicle Head-Up Display
TLDR
This study proposes a method of warning drivers of horizontal curves in order to prevent motor vehicles from running off the road and the overall results indicate relatively high accuracy.
Identification, Calculation and Warning of Horizontal Curves for Low-volume Two-lane Roadways Using Smartphone Sensors
IDENTIFICATION, CALCULATION AND WARNING OF HORIZONTAL CURVES FOR LOW-VOLUME TWO-LANE ROADWAYS USING SMARTPHONE SENSORS
A WiFi-based Home Security System
TLDR
A Wi Fi based security system that uses commodity WiFi devices, which most modern households already have, to perform the three primary tasks of typical home security systems, detected intrusions with over 95% accuracy and identified the exact door/window that moved with just 4.5% average error.
HandLock: Enabling 2-FA for Smart Home Voice Assistants using Inaudible Acoustic Signal
TLDR
This work introduces the concept of using a gesture-based authentication system for smart home voice assistants called HandLock, which uses built-in microphones and speakers to generate and sense inaudible acoustic signals to detect the presence of a known (i.e., authorized) hand gesture.
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