In a previous blog, I discussed how to create 2D occupancy grid maps for navigation purposes using 2D Lidar scans. In this blog, however, I’d like to highlight some of the advantages of creating 3D maps, as opposed to 2D...
Ever since we released our Self-Driving Car Research Studio (SDRS), I’ve dedicated some of my time to finding innovative ways to push the boundaries of what's possible and exciting with our offering. In this blog I am going to talk...
One common application to autonomous mobile robotics is the idea of line following, which for self-driving cars is expanded to the concept of autonomous lane following. This application can be a starting step into developing a fully autonomous driving example...
When we launched the Self-Driving Car Research Studio with its feature vehicle, a 1/10 scale QCar earlier this year, we promised a wide array of application examples, including, of course, a self-driving one. We have developed line-following applications before, and...
Current vehicles rely on two very powerful eyes (the ones that come with the human operator) to provide the majority of information needed for driving to the computer (the brain behind those eyes). But the cars of the future will...
In the previous QCar blog post, we talked about the LIDAR-based SLAM techniques as one way of localizing a vehicle. Similarly, to localize a vehicle in a room, you could use optical localization hardware & software solutions such as Optitrack...
