This video demonstrates a modified ArduPilot-Gazebo simulation for artificial intelligence (AI). A ROS subscriber is implemented with a AI python script. A human walking actor is added in Gazebo to simulate a human obstacle. More details can be found at my wiki.… Read the rest
March 27th, 2020No Comments, Gramada, by admin.
COVID-19 i.e. the coronavirus disease has been aptly called the Black Swan of 2020 — a global contagion that will disrupt public health and the global economy. With social distancing turning out to be insufficient, governments across the world are moving to comprehensive lockdowns, likely for weeks if not months, in order to ‘flatten the curve’ and get this pandemic under control.
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Many commercial drone operations rely on several people in the field: usually a pilot, a payload/camera operator and sometimes additional domain experts depending on the mission type. In times of a pandemic – as we have it with Covid-19 at the moment – you want to avoid people being outside or travel as much as possible. But some drone operations can’t be postponed – for example inspection of critical infrastructure, Search & Rescue or curfew enforcement. In this situations staff … Read the rest
March 20th, 2020No Comments, Gramada, by admin.
Today it is universally acknowledged that drones operating close to the ground need some sort of obstacle avoidance. What I am about to tell is the story of our own first attempt at putting obstacle avoidance on a drone, during the years 2001 through 2003, using neuromorphic artificial insect vision hardware. I … Read the rest
The world is entering in a temporal crisis.
Now the colaborative economy and tecnological comunities are more
neded than ever.
in Spain a big group of makers and experts have created in a few weeks a very neded product in thease days for people wih expecial neds
because is cheap, and fast to build, the proces is almost finishing with the aprovals of Spain health autorities.. you can check that heare..:
But the main reasson i post heare…
A … Read the rest
Very cool research from Microsoft on using their AirSim simulators to train racing drones for the real world:
Humans subconsciously use perception-action loops to do just about everything, from walking down a crowded sidewalk to scoring a goal in a community soccer league. Perception-action loops—using sensory input to decide on appropriate action in a continuous real time loop —are at the heart of autonomous systems. Although this tech has advanced dramatically in the ability to use sensors and cameras to … Read the rest
This is a cross-post from the ArduPilot blog.
UAVCAN was first announced six years ago, in early 2014, as an RFC doc published on this website. Over the following few years, it saw adoption in numerous systems – mostly UAV, naturally, but also including spacecraft, micromobility vehicles, and even racing cars. The vast empirical data collected from fielded systems over the years allowed us to identify the weak points in the design and eventually enabled us to come … Read the rest
LightWare is delighted to launch our new long range microLiDAR™. The SF30/D is ideal for altitude management above 400 feet. Each SF30/D is range tested in the bright African sun to ensure super performance in the hands of our customers.
The SF30/D laser measurement sensor provides real time, accurate altitude (AGL) measurements for UAVs. The lightweight 36 gram design features a time-of-flight range up to 200 meters (656 feet), and an update rate up to 20K readings per second. Typical … Read the rest
I stumbled upon this 2015 post from Gerard Toonstra and am looking to build a similar setup:
There’s a ton of useful information in his post/blog, but since several of the links have now aged and technology has advanced, I thought I’d create a new thread on the topic.
I have a Phantom 4 Pro which I have a few years of surveying experience with (I’m not a licensed surveyor) doing aerial mapping and using Pix4D, so … Read the rest