Machine Learning Inside the Car
summary
Data show 90% of car crashes involve driver distraction, so NVIDIA designs in-car vision systems to keep the human in the loop until full autonomy arrives. The team ships products for head pose tracking, face detection and video stabilization and libraries for mobile CV, builds algorithms that work with color or depth sensors, demonstrates low-cost gaze tracking and a deep-learning dynamic hand-gesture recognizer that operates in real time on in-car data.
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chapters (7)
- 0:00Welcome
- 3:15Driving tech and user experience
- 10:25Smart mobility projects
- 16:11Real-time systems and data
- 21:50Experimentos y casos de uso prácticos
- 24:11AI mobility challenges
- 27:54Cierre y preguntas finales
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