Recent advances in motion and behavior planning techniques for software architecture of autonomous vehicles: A state-of-the-art survey
Autonomous vehicles (AVs) have now drawn significant attentions in academic and
industrial research because of various advantages such as safety improvement, lower …
industrial research because of various advantages such as safety improvement, lower …
A review of sensing and communication, human factors, and controller aspects for information-aware connected and automated vehicles
Information-aware connected and automated vehicles (CAVs) have drawn great attention in
recent years due to their potentially significant positive impacts on roadway safety and …
recent years due to their potentially significant positive impacts on roadway safety and …
CARLA: An open urban driving simulator
We introduce CARLA, an open-source simulator for autonomous driving research. CARLA
has been developed from the ground up to support development, training, and validation of …
has been developed from the ground up to support development, training, and validation of …
Generalized velocity obstacle algorithm for preventing ship collisions at sea
Numerous methods have been developed for ship collision prevention over the past
decades. However, most studies are based on strong assumptions, such as the need for a …
decades. However, most studies are based on strong assumptions, such as the need for a …
AADS: Augmented autonomous driving simulation using data-driven algorithms
Simulation systems have become essential to the development and validation of
autonomous driving (AD) technologies. The prevailing state-of-the-art approach for …
autonomous driving (AD) technologies. The prevailing state-of-the-art approach for …
Learning to drive by imitation: An overview of deep behavior cloning methods
AO Ly, M Akhloufi - IEEE Transactions on Intelligent Vehicles, 2020 - ieeexplore.ieee.org
There is currently a huge interest around autonomous vehicles from both industry and
academia. This is mainly due to recent advances in machine learning and deep learning …
academia. This is mainly due to recent advances in machine learning and deep learning …
Formalization of interstate traffic rules in temporal logic
S Maierhofer, AK Rettinger, EC Mayer… - 2020 IEEE Intelligent …, 2020 - ieeexplore.ieee.org
To allow autonomous vehicles to safely participate in traffic and to avoid liability claims for
car manufacturers, autonomous vehicles must obey traffic rules. However, current traffic …
car manufacturers, autonomous vehicles must obey traffic rules. However, current traffic …
Analyzing the suitability of cost functions for explaining and imitating human driving behavior based on inverse reinforcement learning
Autonomous vehicles are sharing the road with human drivers. In order to facilitate
interactive driving and cooperative behavior in dense traffic, a thorough understanding and …
interactive driving and cooperative behavior in dense traffic, a thorough understanding and …
End-to-end autonomous driving with semantic depth cloud mapping and multi-agent
Focusing on the task of point-to-point navigation for an autonomous driving vehicle, we
propose a novel deep learning model trained with end-to-end and multi-task learning …
propose a novel deep learning model trained with end-to-end and multi-task learning …
Autonovi-sim: Autonomous vehicle simulation platform with weather, sensing, and traffic control
Abstract We present AutonoVi-Sim, a novel high-fidelity simulation platform for autonomous
driving data generation and driving strategy testing. AutonoVi-Sim is a collection of high …
driving data generation and driving strategy testing. AutonoVi-Sim is a collection of high …