NMPC for racing using a singularity-free path-parametric model with obstacle avoidance
This work presents the real-time control of 1: 43 scale autonomous race cars using nonlinear
model predictive control based on a singularity-free prediction model. This model allows the …
model predictive control based on a singularity-free prediction model. This model allows the …
Optimization-based motion planning and model predictive control for autonomous driving: With experimental evaluation on a heavy-duty construction truck
PF Lima - 2018 - diva-portal.org
This thesis addresses motion planning and control of autonomous heavyduty industrial
vehicles, such as trucks and buses, using optimization-based techniques. Autonomous …
vehicles, such as trucks and buses, using optimization-based techniques. Autonomous …
[图书][B] Zeitoptimale Trajektorienplanung für automatisiertes Fahren bis in den fahrdynamischen Grenzbereich
I Gundlach - 2020 - tuprints.ulb.tu-darmstadt.de
Um ein Gesamtsystem zum automatisierten Fahren bis in den fahrdynamischen
Grenzbereich zu entwickeln und zu testen, eignet sich eine zeitoptimale …
Grenzbereich zu entwickeln und zu testen, eignet sich eine zeitoptimale …
Lateral model predictive control for autonomous heavy-duty vehicles: Sensor, actuator, and reference uncertainties
GC Pereira - 2020 - diva-portal.org
Autonomous vehicle technology is shaping the future of road transportation. This technology
promises safer, greener, and more efficient means of transportation for everyone …
promises safer, greener, and more efficient means of transportation for everyone …
DiMOpt: A distributed multi-robot trajectory optimization algorithm
This paper deals with Multi-robot Trajectory Planning, that is, the problem of computing
trajectories for multiple robots navigating in a shared space while minimizing for control …
trajectories for multiple robots navigating in a shared space while minimizing for control …
Real-Time NMPC for an Automated Valet Parking with Load-Based Safety Constraints and a Path-Parametric Model
BB Carlos, M Williams… - 2023 IEEE/RSJ …, 2023 - ieeexplore.ieee.org
As global living standards continue to rise and urbanization accelerates, cities worldwide
face high demands for parking. To tackle this issue and foster the efficient use of limited …
face high demands for parking. To tackle this issue and foster the efficient use of limited …
Dynamics, directional maneuverability and optimization based multivariable control of nonholonomic differential drive mobile robots
K Mondal - 2021 - search.proquest.com
This dissertation presents a comprehensive study of modeling and control issues associated
with nonholonomic differential drive mobile robots. The first part of dissertation focuses on …
with nonholonomic differential drive mobile robots. The first part of dissertation focuses on …
Trajectory Planning considering Motion Sickness and Head Movements
A Steinke, U Konigorski - IFAC-PapersOnLine, 2022 - Elsevier
A widespread trigger of discomfort in road vehicles is motion sickness (MS), which describes
the motion induced occurrence of symptoms such as dizziness, nausea and vomiting. This …
the motion induced occurrence of symptoms such as dizziness, nausea and vomiting. This …
Adaptive Lateral Model Predictive Control for Autonomous Driving of Heavy-Duty Vehicles
GC Pereira - 2023 - diva-portal.org
Autonomous Vehicle (AV) technology promises safer, greener, and more efficient means of
transportation for everyone. AVs are expected to have their first big impact in closed …
transportation for everyone. AVs are expected to have their first big impact in closed …
Motion planning for heavy-duty vehicles
R Oliveira - 2019 - diva-portal.org
Autonomous driving is a disrupting technology that is expected to reshape transportation
systems. The benefits of autonomous vehicles include, but are not limited to, safer …
systems. The benefits of autonomous vehicles include, but are not limited to, safer …