A review on autonomous vehicles: Progress, methods and challenges
… The progression and arrival of autonomous cars are the results of remarkable research
progress in IoT and embedded systems, sensors and ad hoc networks, data acquisition and …
progress in IoT and embedded systems, sensors and ad hoc networks, data acquisition and …
Deep learning for safe autonomous driving: Current challenges and future directions
… From the results, we can see that several famous detectors have less accuracy on … challenges
and issues faced by AD community and suggested recommendations for future research in …
and issues faced by AD community and suggested recommendations for future research in …
Driverless vehicle security: Challenges and future research opportunities
G De La Torre, P Rad, KKR Choo - Future Generation Computer Systems, 2020 - Elsevier
… However, findings from surveys undertaken in the US, the UK, and Australia showed that …
the security challenges of the different technologies integrated in self-driving vehicles as well …
the security challenges of the different technologies integrated in self-driving vehicles as well …
A survey of autonomous vehicles: Enabling communication technologies and challenges
… or minimised, then autonomous cars will be a considerable … review the advancement of
autonomous cars focusing on the … 5.9 GHz results in serious multipath and doppler shift issues …
autonomous cars focusing on the … 5.9 GHz results in serious multipath and doppler shift issues …
Securing connected & autonomous vehicles: Challenges posed by adversarial machine learning and the way forward
… As DL schemes produce outstanding results, they have … autonomous vehicles in the market,
nor did it use the training data being used by autonomous vehicle manufactures, this study …
nor did it use the training data being used by autonomous vehicle manufactures, this study …
Can autonomous vehicles enable sustainable mobility in future cities? Insights and policy challenges from user preferences over different urban transport options
… include and measure the outcome variables presented in the current study, which are the …
for different use options of autonomous vehicles. The overall research approach was deemed …
for different use options of autonomous vehicles. The overall research approach was deemed …
Control strategies on path tracking for autonomous vehicle: State of the art and future challenges
Q Yao, Y Tian, Q Wang, S Wang - IEEE Access, 2020 - ieeexplore.ieee.org
… research in the field of autonomous vehicle [6], [7]. As the basic part of autonomous vehicle
… The results and problem of all kind of methods are analyzed, and some conclusions are …
… The results and problem of all kind of methods are analyzed, and some conclusions are …
The transition to autonomous cars, the redesign of cities and the future of urban sustainability
… challenges that developers of autonomous cars are facing (cyclist detection, off-road … , we
also believe that this issue does not significantly affect the validity of the results. In fact, as we …
also believe that this issue does not significantly affect the validity of the results. In fact, as we …
[HTML][HTML] Deep learning for object detection and scene perception in self-driving cars: Survey, challenges, and open issues
… address the image perception issues in real-time driving, and critically evaluate recent
implementations and tests conducted on self-driving cars. The findings and practices at various …
implementations and tests conducted on self-driving cars. The findings and practices at various …
Explainable artificial intelligence for autonomous driving: A comprehensive overview and field guide for future research directions
… The empirical results of the study on the introduced BDD-OIA dataset show that the … end-to-end
autonomous driving, and the role of and potential challenges with explanations in such a …
autonomous driving, and the role of and potential challenges with explanations in such a …