… survey research on self-driving cars published in the literature focusing on autonomous cars
… The architecture of the autonomy system of self-driving cars is typically organized into the …

… for self-driving cars. On this basis, we focus exclusively on the applications of deep learning
for self-driving cars. Other relevant surveys in the field of deep learning and self-driving cars …

… the real attacks already happened in self-driving cars. To bridge this research gap, in …
self-driving cars and extensively present potential cyber-attacks and their impacts on those cars …

… and data-driven cars. In this article, we aim to bridge the gap between deep learning …
self-driving cars through a comprehensive survey. We begin with an introduction to self-driving cars, …

… Abstract—Rigorous and comprehensive testing plays a key role in training self-driving cars
… art simulators for end to end testing of self-driving cars for the reasons mentioned in this paper…

… in an initial survey of 187 participants… survey protocol and participants used for this study.
The internal consistency and validity of the AVAM are then explored in the context of our survey…

… having advancement in car manufacturing with learning control algorithm. Self-driving car
springs from traffic congestion problem [1]. Now a day, self-driving cars start to migrate from …

… A car that can navigate by itself without being dependent on human for inputs is known as a
self-driving car. … This paper presents survey done on various technologies used in these cars …

… In future we will see lot of self-driving cars around the world. Many companies like GM, Ford,
… generation self-driving cars. Hyundai also financed $30 million in self-driving car developer …

… This has been a pertaining issue in other surveys (Bonnefon et al. 2016; Kyriakidis et al.
2015; Sütfeld et al. 2017), and this research also confirms that there is a significant influence …