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Full-Text Articles in Automotive Engineering
Object Detection, Classification, And Tracking For Autonomous Vehicle, Milan Aryal
Object Detection, Classification, And Tracking For Autonomous Vehicle, Milan Aryal
Masters Theses
The detection and tracking of objects around an autonomous vehicle is essential to operate safely. This paper presents an algorithm to detect, classify, and track objects. All objects are classified as moving or stationary as well as by type (e.g. vehicle, pedestrian, or other). The proposed approach uses state of the art deep-learning network YOLO (You Only Look Once) combined with data from a laser scanner to detect and classify the objects and estimate the position of objects around the car. The Oriented FAST and Rotated BRIEF (ORB) feature descriptor is used to match the same object from one image …
Dscr Based Sensor-Pooling Protocol For Connected Vehicles In Future Smart Cities, Mostafa El-Said, Samah Mansour, Vijay Bhuse
Dscr Based Sensor-Pooling Protocol For Connected Vehicles In Future Smart Cities, Mostafa El-Said, Samah Mansour, Vijay Bhuse
Peer-Reviewed Publications
Smart cities are racing to create a more connected Intelligent Transportation Systems (ITS) that rely on collecting data from every possible sensor such as a smart utility meter or a smart parking meter. The use of more sensors resulted in generating a lot of information that maps the smart city environment conditions to more real time data points that needed to be shared and analyzed among smart city nodes. One possibility, to carry and share the collected data, is in autonomous vehicles systems, which use the Dedicated Short Range Communications (DSRC) technology. For example, in a Car-to-Parking-Meter or a Vehicle-to-Vehicle …