… We believe that this entirely different domain is one important novelty provided by our dataset
with regards to the autonomous driving task. All the seven cities are populated by vehicles …

… that autonomous driving can effectively reduce driver fatigue … driving system (ADS) have to
be clear when the driving tasks … comes down to the operational design domain (ODD) used for …

… Our proposed method is trained and evaluated by using five public driving datasets … in
various domain shift scenarios for autonomous driving applications. Index Terms—Autonomous …

… the domain shift between various weathers. This paper proposes a novel domain adaptation
framework to achieve robust object detection performance in autonomous driving under …

… We identify the maturity level of the different requirements for artificial intelligence (AI) in
autonomous driving and outline the main challenges to be addressed in the future to ensure …

… Drive Given a dataset of driving images labeled with vehicle command in the real domain and
a similar dataset in the virtual domain… image into the virtual domain and then run prediction …

Augmenting the reliability of extended object tracking is a major issue to enable autonomous
driving. Therefore, classification assisted tracking is introduced. A new multiple extended …

… 3D scene understanding, domain generalization is still relatively … domain generalization
performance. With it, we benchmark current state-of-the-art approaches for autonomous driving …

… A new unsupervised domain adaptation method is proposed in this paper to solve the
object detection problem in the field of autonomous driving. Extensive experiments are …

… RL in the domain of autonomous driving expanding our … autonomous driving or the self
driving domain is an emergent field. This is due to the recent usage of RL/DRL algorithms domain…