no code implementations • 31 Jul 2023 • Walter Morales-Alvarez, Novel Certad, Alina Roitberg, Rainer Stiefelhagen, Cristina Olaverri-Monreal
For driver observation frameworks, clean datasets collected in controlled simulated environments often serve as the initial training ground.
no code implementations • 14 Apr 2023 • Jihed Khiari, Cristina Olaverri-Monreal
We propose in this paper an ensemble learning approach based on deep neural networks (ENN) that is designed to reduce the predictive uncertainty and to output measures of such uncertainty.
no code implementations • 27 Apr 2022 • Jihed Khiari, Cristina Olaverri-Monreal
We propose a data-driven approach which relies on real-world datasets including battery related attributes.
no code implementations • 27 Apr 2022 • Aso Validi, Nikita Smirnov, Cristina Olaverri-Monreal
Connected and Automated Vehicles (CAVs) have received a lot of attention in recent years.
no code implementations • 23 May 2021 • Aso Validi, Cristina Olaverri-Monreal
Several approaches have been presented during the last decades to reduce carbon pollution from transportation.
1 code implementation • 24 Sep 2020 • Jihed Khiari, Cristina Olaverri-Monreal
A variety of solutions exist for short-term travel time predictions such as solutions that utilize real-time GPS data and optimization methods to track the path of a vehicle.
no code implementations • 4 Jun 2020 • Walter Morales Alvarez, Francisco Miguel Moreno, Oscar Sipele, Nikita Smirnov, Cristina Olaverri-Monreal
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.
Autonomous Driving Robotics