Spatiotemporal Object Detection for Improved Aerial Vehicle Detection in Traffic Monitoring

Code that implements Convolutional Neural Networks using Structured Ternary Patterns (STeP)

A small deep learning model based on atrous convolutional feature fusion for the application of emergency response.

Training a deep-learning classifier for aerial top view detection of vehicles.

This is a function for estimating the floating point operations (FLOPS) of deep learning models developed with keras.

This repository implements a single shot object detection framework in Keras.

Submission to the first Mobile AI challenge, where the target is to develop quantized deep learning-based camera scene classification solutions that can demonstrate a real-time performance on smart…

Aerial Image Database for Emergency Response Applications

These python files can be used to generate virtual steering angles for datasets acquired from a car mounter camera. For example in this way you can augment datasets used for detecting vehicles and …

These short tutorial includes small tips for hardware design using Verilog HDL ®. The concepts discussed assume that you have some familiarity with Verilog design.

Rapid object detection suitable for implementation in autonomous vehicles.

Implementation of a Gaussian Naive Bayes classifier to predict the behavior of vehicles on a highway

This project uses deep neural networks and convolutional neural networks to classify traffic signs. It is implemented in TensorFlow in a python notebook environment.

IP Cores in Verilog and VHDL for arithmetic functions

Behavioral Cloning — make a car learn to drive by itself!