Udacity and Mercedes-Benz’s North American R&D lab have developed curriculum for a sensor fusion nanodegree, the latest effort by the online education startup to meet high demand for skills related to autonomous vehicles and to duplicate the success it has had with its self-driving car engineer program.
Enrollment for the sensor fusion degree opened up Tuesday.
Udacity specializes in “nanodegrees” on a range of technical subjects that include AI, deep learning, digital marketing, VR and computer vision.
The new sensor fusion nanodegree is one of the recent additions and changes enacted by Udacity’s co-founder Sebastian Thrun as part of a larger turnaround plan aimed at bring costs in line with revenue without hurting growth.
The sensor fusion program is made up of four courses and is intended to take about four months to complete. Students will learn about lidar obstacle detection, radar obstacle detection, camera and lidar data fusion, and Kalman Filters. Those who finish the degree should be able to work with lidar, radar, and cameras — sensors that are used on the vast majority of autonomous vehicles.
A group of MBRDNA employees are enrolled in the self-driving car program as part of an Enterprise training pilot.
“There’s no such thing as self-driving car generalists,” Thrun told TechCrunch. “Companies are looking for something specific. And the hottest thing around right now is sensor fusion.”
And despite the AV industry dipping into the “trough of disillusionment” Thrun said there is still a lot of demand for skilled workers.
“It’s easier to get a job right now than raise money from investors,” Thrun said. “All of these companies like Zoox and Aurora, Waymo, Cruise and Tesla are hiring like crazy.”
For instance, GM’s self-driving car unit Cruise announced in March plans to hire hundreds of employees through the … Read the rest