… Autonomous driving technologies have been emerging over the past few years, and semi-autonomous
driving … Since autonomous driving is realized by the intelligent processing of data …

… Beyond providing a detailed overview of the existent approaches, we conclude this work
with the most promising aspects of end-to-end autonomous driving approaches suitable for …

… approach for perception and control for an autonomous vehicle and demonstrate this
approach in a high-fidelity urban driving … our approach in CARLA, a high-fidelity urban driving …

This paper presents a method for observational learning in autonomous agents. A formalism
based on deep learning implementations of variational methods and Bayesian filtering …

… for autonomous driving, the navigation is done by firstly using the SLAM approach to build
a … Finally, a controller is adopted to make the vehicle drive along the planned path. Some of …

… autonomous driving development activities worldwide. We then discuss the solution concept
for autonomous driving in … We implement approaches for predicting the network resource …

… Modern autonomous driving system is characterized as modular tasks in sequential order,
ie… -level intelligence, contemporary approaches either deploy standalone models for indi…

… We build the software stack of autonomous driving on the basis of open-source software.
As a result, even the code implementation of the algorithms we have discussed becomes …

… on the combination of the real human driving data and the vehicle dynamics for human-like
autonomous driving. Learning from human driver’s strategies for handling complex situations …

Autonomous driving systems (ADS) in recent years have been the subject of focus, evolving
as one of the major mobility disruptors and being a potential candidate for deployment in …