Self-Driving Cars Anthony Levandowski ordered to pay $179 million to Google

Anthony Levandowski ordered to pay $179 million to Google
Anthony Levandowski, Ex-Uber self-driving head declares bankruptcy after $179 million loss to Google
TuSimple revs up Texas with new UPS autonomous trucking routes (+ video)
The Intersection Drone Dataset (inD) – A novel dataset measured at intersections for development and safety validation of automated driving
Skills needed to break into this industry?
Utah driverless shuttle mishap doesn't slow 76-year-old state employee (EasyMile, July 2019)
Why Auto OEMs should seriously consider their in-car digital companion
Waymo's New Sensor Hardware: Indication For An Imminent Mass Production & Rollout?

Anthony Levandowski ordered to pay $179 million to Google

Posted: 05 Mar 2020 09:27 AM PST

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Anthony Levandowski, Ex-Uber self-driving head declares bankruptcy after $179 million loss to Google

Posted: 04 Mar 2020 04:26 PM PST

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TuSimple revs up Texas with new UPS autonomous trucking routes (+ video)

Posted: 05 Mar 2020 09:14 AM PST

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The Intersection Drone Dataset (inD) – A novel dataset measured at intersections for development and safety validation of automated driving

Posted: 05 Mar 2020 03:02 AM PST

Data collection is fundamental for the development of automated driving. Drones can help to overcome the limitations of established traffic data collections methods like e.g. occlusions. That's how fka GmbH and the Institute for Automotive Engineering (ika) have developed the inD dataset. It is a new dataset of naturalistic road user trajectories recorded at German intersections, including all road users such as e.g. vehicle, pedestrian and bicyclist.

inD dataset © fka GmbH and ika RWTH Aachen University

For the inD dataset, the traffic was recorded at four different locations as well as different intersection types. The trajectory, dimensions and type for each road user are included in the dataset. Using state-of-the-art computer vision algorithms, the positional error is typically less than 10 centimetres.

The dataset is applicable to e.g. the following tasks:

- Road User Prediction

- Driver Modeling

- Scenario-based Safety Validation of Automated Driving Systems

- Data-driven Development of HAD System Components

- Traffic Analysis

To start working with the dataset is pretty easy because Python-Code is also provided to read-in the dataset and to visualize the recorded trajectories.

Companies in need of such data can purchase a commercial license through levelXdata (levelXdata.fka.de ). Under this product, fka GmbH combines its expertise in the field of data acquisition and processing for all stages of automated driving.

Furthermore the dataset is available at no cost for non-commercial public research. Application is possible through www.ind-dataset.com. Our arxiv-Paper can be found here:

https://arxiv.org/abs/1911.07602

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Skills needed to break into this industry?

Posted: 05 Mar 2020 05:04 AM PST

Hi am interested in SDC, am currently studying computer engineering. So far although I don't have much work experience, I have been learning Tensorflow, Keras, OpenCV, image processing, networking, and working on a raspberry pi in my free time.

I'm not sure what sort of entry level role I could aim for, since I lack knowledge on things like ROS, SLAM, point localization, LiDar which I see are often things employees there should know about or have worked with. The closest I'll come to prod-level robotics is a small autonomous RC car team at my school.

Do I have enough for those jobs, and if not besides the things listed what else could I work on? Is a master's necessary?

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Utah driverless shuttle mishap doesn't slow 76-year-old state employee (EasyMile, July 2019)

Posted: 05 Mar 2020 03:13 AM PST