Deepfake tech generates photo-realistic images in any number of weather conditions for safe virtual development for autonomous cars
Oxbotica has developed deepfake technology that is capable of generating thousands of photo-realistic images that may help expose autonomous vehicles to multiple variations of the same simulation avoiding real-world testing of the location. Deepfaking employs deep learning artificial intelligence (AI) to generate fake photo-realistic images. Oxbotica believes that the pioneering technology will make the vehicles of tomorrow smarter and safer, and immediately accelerate the race to autonomy. Sophisticated deepfake algorithms allow the autonomous vehicle software firm to reproduce the same scene in poor weather or adverse conditions, and subject its vehicles to rare occurrences. The data is generated by an advanced teaching cycle made up of two co-evolving AIs, one is attempting to create ever more convincing fake images while the other tries to detect which are real and which have been reproduced.
Oxbotica engineers have designed a feedback mechanism that sees both entities improve over time in a bid to outsmart their adversary. Over time, the detection mechanism will become unable to spot the difference, which means the deepfake AI module is ready to be used to generate data to teach other AIs. Paul Newman, Co-Founder and CTO, Oxbotica mentions “Using deepfakes is an incredible opportunity for us to increase the speed and efficiency of safely bringing autonomy to any vehicle in any environment – a central focus of our Universal Autonomy vision. What we’re really doing here is training our AI to produce a syllabus for other AIs to learn from. It’s the equivalent of giving someone a fishing rod rather than a fish. It offers remarkable scaling opportunities. There is no substitute for real-world testing but the autonomous vehicle industry has become concerned with the number of miles travelled as a synonym for safety. And yet, you cannot guarantee the vehicle will confront every eventuality, you’re relying on a chance encounter. The use of deepfakes enables us to test countless scenarios, which will not only enable us to scale our real-world testing exponentially; it’ll also be safer”.