273 results for "pinot" across all locations
Vegas, your uberXL is Arriving Now
New app features and data show how Uber can improve safety on the road
We believe that technologies like Uber provide an incredible opportunity to improve road safety in new and innovative ways—before, during and after every ride. Today, we’re excited to announce several new safety pilots to improve rider and driver safety.
New app features and data show how Uber can improve safety on the road
We believe that technologies like Uber provide an incredible opportunity to improve road safety in new and innovative ways—before, during and after every ride. Today, we’re excited to announce several new safety pilots to improve rider and driver safety.
Uber Answers Ireland’s Call
Dublin has long been known as one of the world’s most enchanting cities – a place where great tradition, hospitality and a pint of the good stuff are never more than a few steps away. Life got a bit sweeter for Dubliners this morning when secret Ubers were spotted across town.
St. Paddy’s Day: Ride with Uber and Paint The City Green
Prueba piloto de la función que muestra las ganancias estimadas por kilómetro recorrido en las solicitudes de viaje
We are piloting the introduction of estimated earnings per active hour on trip requests in a few cities in Chile, Argentina, and Mexico.
When choosing to accept a trip request, drivers consider many factors such as fare, distance, and time. Estimated earnings per kilometer is a simple way to compare trips requests that you receive.
Secret Ubers Spotted in London!
London’s first riders have emerged!
Flavor of the Week: #UberIceCream
Physically Realizable Adversarial Examples for LiDAR Object Detection
J. Tu, M.Ren, S.Manivasagam, B. Yang, M. Liang, R. Du, F.Cheng,
R. Urtasun
Modern autonomous driving systems rely heavily on deep learning models to process point cloud sensory data; meanwhile, deep models have been shown to be susceptible to adversarial attacks with visually imperceptible perturbations. Despite the fact that this poses a security concern for the self-driving industry, there has been very little exploration in terms of 3D perception, as most adversarial attacks have only been applied to 2D flat images. […] [PDF]
Computer Vision and Pattern Recognition
(CVPR), 2017
