This project is a first stage in development of an autonomic robot for picking up litter left in nature.
Autonomous Systems
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Training a YOLOv4 network for drone detection and implementation on an NVIDIA Jetson TX2 installed on a UAV -
Build video dataset of flying drones for drone detection network -
Estimate vehicle's position with respect to cones by using a thermal camera -
We present an improved algorithm for horizon calculation for USV from video taking into account the boat's oscillations due to waves. -
Control TELLO drone to automatically follow human face -
Real time cone detection and mapping solution using LiDAR & IMU integration for Technion FORMULA team. -
Control a single drone using a ground stereo camera system -
Recognition and identification of obstacles around USV using YOLO network -
Autonomous drone localization and navigation from ground station camera -
Perform autonomous object tracking with hacked Nano Drone -
LSD-SLAM and ORB-SLAM was implemented on a Turtlebot robot working under ROS for mapping and exploration purpuses. -
Prototype of a moving robot arm system with capability of going back exactly to the same position as it started. -
Development of algorithm for navigating autonomous vehicle for FORMULA contest -
Students are invited to take part in Technion's Formula team and develop a driverless formula vehicle. -
Students will build COFFEEBOT: a robot capable of delivering coffee from the 'Greg' coffee shop. -
Due to new threats a navigating tunnel mapping system is required -
Finding and navigating a path in a non-deterministic, 2D environment under probabilistic constraints. -
Utilizing SLAM and navigation capabilities to achieve high quality complete map of the surroundings in a short amount of time.Categories: Autonomous Systems -
Many navigation apps and tools exists to help you navigate outdoor based mainly on GPS but a cheap and reliable indoor navigation and mapping system is missing -
In recent years drones became more accessible and we would like to explore the magnificent world of drones and autonomous systems. We would like to use the drone in order to accomplish basic mission, and create an infrastructure for next to come -
In our project we have implemented the PTAM (Parallel Tracking and Mapping) Algorithm on a commercial AR.Drone Quadcopter for the purposes of orientation and automatic navigation