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2269 results for "earn" across all locations

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Products 19 March 2018 / New Delhi

Thank you for launching Uber Auto!

Whenever you want, Uber Auto will arrive at your doorstep at the tap of a button. Book your auto ride through Uber in Delhi NCR.

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Stories 2 February 2018 / Auckland

The best Auckland beaches to visit this summer

Planning a day at the beach? We have 5 tips for the perfect summer picnic.

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Stories 1 January 2018 / Perth

The best Perth beaches to visit this summer

Planning a day at the beach? We have 5 tips for the perfect summer picnic.

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Business 9 November 2017 / North Carolina

Uber is now available across North Carolina

Uber is now available across all of North Carolina.

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Promotions 11 April 2017 / Hyderabad

3 Tips For A Seamless Uber Experience

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Products 1 May 2015 / Dallas

Take the Hassle out of Your Travel

Have you heard the news? uberX is now available for pickup at Dallas Love Field Airport!

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Stories 3 January 2017 / Uganda

Ringing in 2017 in Kampala

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Products 4 May 2017 / Global

Spanish

Con el soporte de Uber en la app, puedes obtener las respuestas a tus preguntas, hacer un seguimiento de tus objetos perdidos e informar problemas de tu viaje con tan solo tocar un botón.

Stories 11 January 2015 / Melbourne

Uber Melbourne Statement

Uber statement on Melbourne incident

Uber AI, Engineering 1 December 2018 / Global

Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets

F. Chou, T.-H. Lin, H. Cui, V. Radosavljevic, T. Nguyen, T. Huang, M. Niedoba, J. Schneider, N. Djuric
Following detection and tracking of traffic actors, prediction of their future motion is the next critical component of a self-driving vehicle (SDV), allowing the SDV to move safely and efficiently in its environment. This is particularly important when it comes to vulnerable road users (VRUs), such as pedestrians and bicyclists. We present a deep learning method for predicting VRU movement where we rasterize high-definition maps and actor’s surroundings into bird’s-eye view image used as input to convolutional networks. […] [PDF]
MLITS workshop @ Neural Information Processing Systems (NeurIPS), 2018