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  1. This project contains a trained deep convolutional neural network model made using Tensorflow and Keras, a drive.py script to get it running with Udacity's car simulator (https://github.com/udacity…

    Python

  2. Using a particle filter to determine and keep track of an object's location within a feature map. Particle filters are essentially a way of determining a car's likelihood of being in given sampled …

    C++

  3. Sensor fusion of Lidar and Radar measurements using an Extended Kalman Filter, to keep track of an objects 2D position and velocity.

    C++

  4. Use computer vision techniques to detect and fit lane lines in an image or video with a 2nd order polynomial

    Python

  5. A "colorful" notes app for iOS

    Swift

  6. A "KBB clone" that allows you to upload cars and their options and costs(in a certain format see the files included in KBBAppV2) to a server, then use the client to access and configure the cars to…

    Java

268 contributions in the last year

May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Mon Wed Fri

Contribution activity

May 2019

Opened their first pull request on GitHub in CodingTrain/website

Neoman Nouiouat created their first pull request!

First pull request

Added new contribution
15 contributions in private repositories May 2 – May 20

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