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20202023
most citedResponse of Vulnerable Road Users to Visual Information from Autonomous Vehicles in Shared Spaces

25 citations · 117 across the 25 of their papers we have counts for

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11 papers · 1 filter

cs.RO2023

Extraction of Road Users' Behavior From Realistic Data According to Assumptions in Safety-Related Models for Automated Driving Systems

Novel Certad, Sebastian Tschernuth, Cristina Olaverri-Monreal

In this work, we utilized the methodology outlined in the IEEE Standard 2846-2022 for "Assumptions in Safety-Related Models for Automated Driving Systems" to extract information on…

cs.RO2023★ 2 cited

Development of a ROS-based Architecture for Intelligent Autonomous on Demand Last Mile Delivery

Georg Novtony, Walter Morales-Alvarez, Nikita Smirnov +1

This paper presents the development of the JKU-ITS Last Mile Delivery Robot. The proposed approach utilizes a combination of one 3D LIDAR, RGB-D camera, IMU and GPS sensor on top o…

cs.RO2023

Method for Comparison of Surrogate Safety Measures in Multi-Vehicle Scenarios

Enrico Del Re, Cristina Olaverri-Monreal

With the race towards higher levels of automation in vehicles, it is imperative to guarantee the safety of all involved traffic participants. Yet, while high-risk traffic situation…

cs.RO2023

Evaluating the acceptance of autonomous vehicles in the future

Angel Madridano Carrasco, Delgermaa Gankhuyag, Miguel Angel de Miguel Paraiso +3

The continuous advance of the automotive industry is leading to the emergence of more advanced driver assistance systems that enable the automation of certain tasks and that are un…

cs.RO2023

JKU-ITS Automobile for Research on Autonomous Vehicles

Novel Certad, Walter Morales-Alvarez, Georg Novotny +1

In this paper, we present our brand-new platform for Automated Driving research. The chosen vehicle is a RAV4 hybrid SUV from TOYOTA provided with exteroceptive sensors such as a m…

cs.RO2022

Implementation of Road Safety Perception in Autonomous Vehicles in a Lane Change Scenario

Enrico Del Re, Cristina Olaverri-Monreal

Understanding human driving behavior is crucial to develop autonomous vehicles' algorithms. However, most low level automation, such as the one in advanced driving assistance syste…

cs.RO2022★ 2 cited

Road Markings Segmentation from LIDAR Point Clouds using Reflectivity Information

Novel Certad, Walter Morales-Alvarez, Cristina Olaverri-Monreal

Lane detection algorithms are crucial for the development of autonomous vehicles technologies. The more extended approach is to use cameras as sensors. However, LIDAR sensors can c…

cs.RO2022

Interaction of Autonomous and Manually-Controlled Vehicles:Implementation of a Road User Communication Service

Nikita Smirnov, Sebastian Tschernuth, Walter Morales-Alvarez +1

Communication between vehicles with varying degrees of automation is increasingly challenging as highly automated vehicles are unable to interpret the non-verbal signs of other roa…

cs.RO2022

Autonomous Vehicle Calibration via Linear Optimization

Georg Novotny, Yuzhou Liu, Wilfried Wöber +1

In navigation activities, kinematic parameters of a mobile vehicle play a significant role. Odometry is most commonly used for dead reckoning. However, the unrestricted accumulatio…

cs.RO2020★ 24 cited

Mobile Delivery Robots: Mixed Reality-Based Simulation Relying on ROS and Unity 3D

Yuzhou Liu, Georg Novotny, Nikita Smirnov +2

In the context of Intelligent Transportation Systems and the delivery of goods, new technology approaches need to be developed in order to cope with certain challenges that last mi…

cs.RO2020★ 21 cited

Autonomous Driving: Framework for Pedestrian Intention Estimationin a Real World Scenario

Walter Morales Alvarez, Francisco Miguel Moreno, Oscar Sipele +2

Rapid advancements in driver-assistance technology will lead to the integration of fully autonomous vehicles on our roads that will interact with other road users. To address the p…