6713 results for "drivers" across all locations
Pay for UberPOOL with Commuter Benefits
Back in August 2016, we announced the launch of a program that allowed riders to use their commuter benefits debit card to pay for uberPOOL rides. We’re excited to share that we’ve partnered with Edenred, Ameriflex, Benefit Resource and Navia in more than a dozen cities so that more riders have the opportunity to save money when using uberPOOL to commute.
Play trivia with a Chicago Blackhawks legend
On January 11, enter promo code HOCKEYFAN into your app and request BLACKHAWKS at 11:00am for your chance to be picked up in an Uber driven by Chicago Blackhawks legend Denis Savard. You’ll face-off with him in an on-demand game of trivia.
10 Restaurant Marketing Tips That Can Help Drive Results
Restaurant marketing is a crucial step to success. Here are 10 restaurant marketing tips that could help increase sales and your restaurant’s customer base.
Information for driving during the world’s highly-anticipated football tournament in Doha
Learn more about rideshare plans and earning opportunities during the upcoming tournament.
Car dealerships driving better customer experiences with Uber Central
We’ve been thrilled to see how Uber Central has allowed one industry in particular to transform their service relationships, and that’s car dealership
Joint Interaction and Trajectory Prediction for Autonomous Driving using Graph Neural Networks
D. Lee, Y. Gu, J. Hoang, M. Marchetti-Bowick
Using weakly intent label can potentially predict the interaction and the resulting trajectory better. We use a GNN to model the interaction. [PDF]
Conference on Neural Information Processing Systems (NeurIPS), 2019
LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving
G. P. Meyer, A. Laddha, E. Kee, C. Vallespi-Gonzalez, C. Wellington
In this paper, we present LaserNet, a computationally efficient method for 3D object detection from LiDAR data for autonomous driving. The efficiency results from processing LiDAR data in the native range view of the sensor, where the input data is naturally compact. […]
[PDF]
Computer Vision and Pattern Recognition (CVPR), 2019
MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving
M. Teichmann, M. Weber, M. Zöllner, R. Cipolla, R. Urtasun
While most approaches to semantic reasoning have focused on improving performance, in this paper we argue that computational times are very important in order to enable real time applications such as autonomous driving. […] [PDF]
IEEE Intelligent Vehicles Symposium (IV), 2018
