Learning from demonstrations has made great progress over the past few y...
We present a method for jointly training the estimation of depth, ego-mo...
State-of-the-art deep networks are often too large to deploy on mobile
d...
In recent years, video analysis tools for automatically extracting meani...
Reinforcement Learning algorithms have recently been proposed to learn
t...
Lane change is a challenging task which requires delicate actions to ens...
Ensembling is a universally useful approach to boost the performance of
...
We present a novel method for simultaneous learning of depth, egomotion,...
Operating a robot safely and efficiently can be considerably challenging...