Tag Archives: Scale AI

Training Data for AVs is Key to Success

High-quality data is the fuel that powers AI algorithms. Without a continual flow of labeled training data, bottlenecks can occur and the algorithm will slowly get worse and add risk to the system. From an article in Tech Crunch by … Continue reading

Posted in 3D Modeling, AI, artifical perception, artificial intelligence, Autonomous vehicles, Business Development, computer vision, Consumer, Covid-19, Data, Deep Learning, driverless vehicles, Government, Hardware, Laser Scanning, Lidar, machine learning, Mapping, point clouds, Quality, Research, Safety, Sensors, Software, Technology, The Industry, training, Visualization | Tagged , , , , , , , , , , , | Leave a comment

Inclement Weather Not Being Addressed by AVs

In late 2018, Krzysztof Czarnecki, a professor at Canada‚Äôs University of Waterloo, built a self-driving car and trained it to navigate surrounding neighborhoods with an annotated driving data set from researchers in Germany, that was not recorded in inclement weather. … Continue reading

Posted in 3D Modeling, AI, AR/VR, artifical perception, artificial intelligence, Autonomous vehicles, computer vision, Data, driverless vehicles, Laser Scanning, Lidar, machine learning, point clouds, Research, Safety, Sensors, The Industry, Weather | Tagged , , , , | Leave a comment