… plicated for current autonomous driving computing systems … -theart computing systems for
autonomous driving, including … , followed by 12 challenges to realize autonomous driving. We …

… faces multiple challenges, of which security is the major concern. In this paper, we present a
… analysis of autonomous driving security. At first, the attack surface of autonomous driving is …

… , mapping-related data files can also be very large, introducing challenges in the … of the
opportunities and challenges of mapping for autonomous driving. A state-ofthe-art review of the …

… ’s Grand Challenges (rural) in 2004/05 and Urban Challenges in 2007, autonomous driving
has … This is a survey of autonomous driving technologies with deep learning methods. We …

… art in autonomous driving in urban environments, based primarily on the experiences of the
authors in the 2007 DARPA Urban Challenge (… the challenges that the teams faced in driving …

… In this section, the state-of-the-art DL approaches mentioned in Table II are briefly described,
considering the target seven tasks. Despite the fact that there are many studies about …

… the trends and future directions of autonomous driving. … them driving around our cities. In
the following, we describe some of the major challenges for guaranteeing safety in autonomous …

… We define end-to-end autonomous driving systems as fully differentiable programs that take
raw sensor data as input and produce a plan and/or low-level control actions as output. Fig. …

… Comparatively, researches between 2007 to 2013 are highly concentrated, topics around
autonomous driving and autonomous system are widely discussed and urban challenge and …

… covering general topics in autonomous driving mentioned above, this review focuses solely
on formal methods. It provides a comprehensive overview of the state of the art that is more in…