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...
We talk about QCar, the Self-Driving Car Research Studio's feature vehicle, as a sensor-rich platform. In this blog series, I want to talk more about the sensors that you can find on QCar. Let's start with LIDAR. Why is LIDAR...
In the earlier blog post, my colleague Derek touched on the 'robot elephant in the room' - ROS. Given the size of the research community developing their applications in ROS, we definitely wanted to give them this option with the...
