Project executed as part of the Udacity Self Driving Car Nanodegree
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Updated
Apr 12, 2017 - Jupyter Notebook
Project executed as part of the Udacity Self Driving Car Nanodegree
an implementation of a PID controller for a self driving car
Udacity - Self Driving Car Nanodegree - Term 2 - Project 4 - PID Controller
Udacity - Self Driving Car Nanodegree - Term 2 - Project 5 - Model Predictive Control
The interface of the autonomous car with the surroundings must be similar to that of human way of interaction. Humans use their eyes as a source of vision and then processes the visual signals in his/her brain and takes the necessary action accordingly. Similarly the autonomous car uses a camera as a visual source to know its surrounding, path e…
Distracted Driving Detection using Python
SOSflow : Scalable Observation System for Scientific Workflows
Simple application that converts mouse/keyboard input to vjoy output, created using vjoyinterface and winapi32. Useful for games like Assetto Corsa, Live For Speed, Rfactor. Requires installed version of VJoy 2.1.8. As for version 1.7, Forcefeedback works with Constant Effect and Periodic Effect. Tested on Live for Speed and Rfactor and Assetto …
Sample code for my article Intelligent Steering Using PID Controllers in the book AI Game Programming Wisdom 2
Sample code for my article Intelligent Steering Using Adaptive PID Controllers in the book AI Game Programming Wisdom 3
Character animation project. Examples of steering behaviours for crowd simulation.
Implementation of a PID controller for vehicle steering and throttle for the Udacity Self-Driving Car Nanodegree
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