3.1k citations · 3.4k across the 6 of their papers we have counts for
6 papers
The NVIDIA PilotNet Experiments
Mariusz Bojarski, Chenyi Chen, Joyjit Daw +22
Four years ago, an experimental system known as PilotNet became the first NVIDIA system to steer an autonomous car along a roadway. This system represents a departure from the clas…
Transforming Speed Sequences into Road Rays on the Map with Elastic Pathing
Xianyi Gao, Bernhard Firner, Shridatt Sugrim +3
Advances in technology have provided ways to monitor and measure driving behavior. Recently, this technology has been applied to usage-based automotive insurance policies that offe…
Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car
Mariusz Bojarski, Philip Yeres, Anna Choromanska +4
As part of a complete software stack for autonomous driving, NVIDIA has created a neural-network-based system, known as PilotNet, which outputs steering angles given images of the…
VisualBackProp: efficient visualization of CNNs
Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski +4
This paper proposes a new method, that we call VisualBackProp, for visualizing which sets of pixels of the input image contribute most to the predictions made by the convolutional…
End to End Learning for Self-Driving Cars
Mariusz Bojarski, Davide Del Testa, Daniel Dworakowski +10
We trained a convolutional neural network (CNN) to map raw pixels from a single front-facing camera directly to steering commands. This end-to-end approach proved surprisingly powe…
Elastic Pathing: Your Speed is Enough to Track You
Bernhard Firner, Shridatt Sugrim, Yulong Yang +1
Today people increasingly have the opportunity to opt-in to "usage-based" automotive insurance programs for reducing insurance premiums. In these programs, participants install dev…