They say that in the future, vehicles will be able to talk. Not in the way that those in the Pixar movie “Cars” do, but more in the sense of being able to relay and receive information from surrounding vehicles, buildings, traffic lights, and other infrastructure.

From driverless cars to life-saving medical devices and everything in between, the technologies of the future not only promise to change the world, but also to create high-paying jobs and drive economic growth in the countries where they are developed and commercialised. With so much at stake, it’s no wonder that many countries are racing to build the innovation and entrepreneurial ecosystems that make this possible.

Our brain can easily estimate the 3D position and the orientation of the objects we see. This task, however, is non-trivial for computers and robots. Computer scientists have been working on the problem of recovering the 3D position and orientation of objects in data captured from image sensors for years. This problem, formulated as the ‘pose estimation’ problem, is important because recovering the position and orientation of objects in a scene is often a necessary step to understanding the scene.

Remember when your piano teacher used to insist you practise your scales every single day? Turns out she wasn’t just being a tyrannical tormentor, but a firm believer in the old adage “practice makes perfect.”