Training Data For Autonomous Driving
21 April 2019 6:34 PM GMT
Autonomous cars must perceive their environment true to reality. The corresponding algorithms are trained using a large number of image and video recordings. For the algorithm to recognize single i?
- Labeling is improved and accelerated by understand.ai, a startup established by computer scientist Philip Kessler, who studied at Karlsruhe Institute of Technology (KIT), and his co-founder Marc Mengler.
- For this reason, automotive industry needs a large amount of video and image material in machine learning for autonomous driving.
- "We at understand.ai use artificial intelligence to make labeling up to ten times quicker and more precise," he adds.
- Combination of technology and human care is particularly important for safety-critical activities, such as autonomous driving," the founder of understand.ai says.
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