6690 results for "drivers" across all locations

Ride Guide: ACL Music Festival 2018
Riding or driving with Uber for ACL Fest? Enjoy pickup points near Zilker Park and other perks. We’re happy to be the Official Ride of ACL Music Fest

Respect is a two way street

A New Kind Of Mobility
Uber driver-partners Bob, Luigi, and Gabriel have all been able to overcome the adversity faced by people with disabilities in the job marketplace. Instead of being limited by what makes them unique, all three are redefining mobility — for themselves and their communities.

Scarborough and Brampton, meet uberPOOL
Starting today, uberPOOL will also be available in Brampton and Scarborough. uberPOOL will give residents the option to share their journey with another rider heading in the same direction at the same time. This will mean more people in fewer cars, cheaper rides for passengers, and less time between trips for drivers.

uberASSIST Frequently Asked Questions
Frequently Asked Questions for uberASSIST in Toronto

Your guide to maximising your earnings this busy season
Maximise your earnings from October to December.

Your guide to maximising your earnings this busy season
Maximise your earnings from October to December.

Mapping Uber’s Future In Singapore
On Monday, 13 February 2017, we’re launching our mapping improvement efforts in Singapore, the first country in Southeast Asia for us to do so. Find out how we’re equipping some vehicles used by driver-partners with our mapping devices to help move Singapore forward.

Technology features to help keep our roads safer
Whether it’s buckling up or keeping to the local speed limits, we can all do our part in keeping our roads safer. ]
DeepSignals: Predicting Intent of Drivers Through Visual Attributes
D. Frossard, E. Kee, R. Urtasun
Detecting the intention of drivers is an essential task in self-driving, necessary to anticipate sudden events like lane changes and stops. Turn signals and emergency flashers communicate such intentions, providing seconds of potentially critical reaction time. In this paper, we propose to detect these signals in video sequences by using a deep neural network that reasons about both spatial and temporal information. […] [PDF]
International Conference on Robotics and Automation (ICRA), 2019