Oliver Scheel | DeepAI

AI Chat

Featured Co-authors

Nassir Navab
318 publications
Federico Tombari
130 publications
Long Chen
127 publications
Peter Ondruska
13 publications
Maciej Wołczyk
13 publications
Błażej Osiński
10 publications
Luca Del Pero
9 publications
Luca Bergamini
8 publications
Naveen Shankar Nagaraja
7 publications
Hugo Grimmett
7 publications
Yawei Ye
4 publications

∙ 09/27/2021

Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients

In this work we are the first to present an offline policy gradient meth...

0 Oliver Scheel, et al. ∙

∙ 05/26/2021

What data do we need for training an AV motion planner?

We investigate what grade of sensor data is required for training an imi...

2 Long Chen, et al. ∙

∙ 05/26/2021

SimNet: Learning Reactive Self-driving Simulations from Real-world Observations

In this work, we present a simple end-to-end trainable machine learning ...

12 Luca Bergamini, et al. ∙

∙ 04/24/2020

Explicit Domain Adaptation with Loosely Coupled Samples

Transfer learning is an important field of machine learning in general, ...

0 Oliver Scheel, et al. ∙

∙ 03/04/2019

Attention-based Lane Change Prediction

Lane change prediction of surrounding vehicles is a key building block o...

0 Oliver Scheel, et al. ∙

∙ 05/17/2018

Situation Assessment for Planning Lane Changes: Combining Recurrent Models and Prediction

One of the greatest challenges towards fully autonomous cars is the unde...

0 Oliver Scheel, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world