Proud—public road urban driverless-car test

A Broggi, P Cerri, S Debattisti, MC Laghi… - IEEE Transactions …, 2015 - ieeexplore.ieee.org
This paper presents an autonomous driving test held in Parma on urban roads and freeways
open to regular traffic. During this test, the vehicle not only performed simple maneuvers, but …

Research scenarios of autonomous vehicles, the sensors and measurement systems used in experiments

L Prochowski, P Szwajkowski, M Ziubiński - Sensors, 2022 - mdpi.com
Automated and autonomous vehicles are in an intensive development phase. It is a phase
that requires a lot of modelling and experimental research. Experimental research into these …

Testing and evaluation of autonomous vehicles based on safety of the intended functionality

J Hu, T Xu, R Zhang - 2021 6th International Conference on …, 2021 - ieeexplore.ieee.org
Testing and evaluation are essential for the development and deployment of Autonomous
Vehicles (AVs). In this paper, a testing and evaluation procedure for AVs is proposed, which …

[PDF][PDF] A Simulation and Regression Testing Framework for Autonomous Vehicles

CK Miller - 2007 - engr.case.edu
Thanks are long overdue to the many people who have helped me. Cenk deserves a medal
of honor for sticking with me through three years of thesis mishaps, all the while showing …

Deep learning for unmanned autonomous vehicles: A comprehensive review

A Khamis, D Patel, K Elgazzar - Deep Learning for Unmanned Systems, 2021 - Springer
In recent years, deep learning as a subfield of machine learning has gained increasing
attention due to its potential advantages in empowering autonomous systems with the ability …

Virtual assessment of automated driving: Methodology, challenges, and lessons learned

S Wagner, A Knoll, K Groh, T Kühbeck… - … International Journal of …, 2019 - sae.org
Automated driving as one of the most anticipated technologies is approaching its market
release in the near future. Since several years, the research in the automotive industry is …

[图书][B] Applied Deep Learning and Computer Vision for Self-Driving Cars: Build autonomous vehicles using deep neural networks and behavior-cloning techniques

S Ranjan, S Senthamilarasu - 2020 - books.google.com
Explore self-driving car technology using deep learning and artificial intelligence techniques
and libraries such as TensorFlow, Keras, and OpenCV Key FeaturesBuild and train powerful …

Evolution of machine learning algorithms for enhancement of self-driving vehicles security

T Swain, S Mishra - … on Advancements in Smart, Secure and …, 2022 - ieeexplore.ieee.org
In recent years, autonomous vehicles have been a hot topic of debate. Several major
automakers, including many worldwide companies, are attempting to be pioneers in …

Proud-public road urban driverless test: Architecture and results

A Broggi, P Cerri, S Debattisti, MC Laghi… - 2014 IEEE Intelligent …, 2014 - ieeexplore.ieee.org
The presence of autonomous vehicles on public roads is becoming a reality. In the last 10
years, autonomous prototypes have been confined in controlled or isolated environments …

A Review of Deep Learning Advancements in Road Analysis for Autonomous Driving

AP Botezatu, A Burlacu, C Orhei - Applied Sciences, 2024 - mdpi.com
The rapid advancement of autonomous vehicle technology has brought into focus the critical
need for enhanced road safety systems, particularly in the areas of road damage detection …