Aircraft detection and collision avoidance
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Updated
Apr 2, 2021 - Jupyter Notebook
Aircraft detection and collision avoidance
Assignment 3 in course DD2438 Artificial Intelligence and Multi Agent Systems at KTH Royal Institute of Technology.
Python wrapper for the Powerlaw Collision Avoidance model
Updated version can be found at https://github.com/MIT-REALM/density_planner
Questa repository rappresenta il risultato del mio lavoro di tesi, focalizzato sullo sviluppo di un Laser-Based Collision Avoidance System per applicazioni robotiche. Il sistema è stato progettato per migliorare la sicurezza dei robot e prevenire le collisioni utilizzando la tecnologia basata su laser.
A robot(boat) that autonomously navigate with the optimal path and obstacle avoidance through deep reinforcement learning is being produced.
Deep Predictive models for collision risk assessment in autonomous driving
Code used in my Graduation Project as requirement for obtaining the degree of Information Technology Engineer.
This repository extracts 3D-coordinates of joint positions of a humanoid using OpenPose and a IntelRealSense Depth-Camera. With those joints it simulates a humanoid having spheres and cylinders as limbs in PyBullet. It is designed detect humans for collision avoidance for robots (proof of concept).
Implementation of "Safe Deep Learning-Based Global Path Planning Using a Fast Collision-Free Path Generator". We present a global path planning method in this project which is based on an LSTM model that predicts safe paths for the desired start and goal points in an environment with polygonal obstacles, using a new loss function (MSE-NER).
Design and integration of Guidance, Navigation and Control systems for autonomous robot swarms
A scheduler to manage a multi tool dual arm robot while avoiding arm-to-arm collisions; considering complex side constraints; and optimizing for cyclic schedules.
G-NAV is a soaring computer for Linux OS, written in Ada and powered by OpenGL (ES) and either GLFW or SDL. It runs native on Raspberry Pi and similar ARM boards.
Repo for Collaboration between Watchtower Foundation and Metasolis Labs on the Token Engineering for the Watchtower platform
An environment for urban area autonomous driving and pedestrian collision avoidance.
Developing a collision avoidance technique using Interval Arithmetic for 3D robots
Developed a computer vision system for an autonomous vehicle capable of lane changing, avoiding vehicle collision by calculating relative vehicle speeds, etc. Used Hough Transform, Canny edge detection & ED-lines algorithm. Applied CNN on German traffic sign database for identifying traffic-signs & implemented behavioral cloning on a simulator. …
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