nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
Agile Off-Road Terrain Traversal of an Ackermann Steered Platform using Deep Reinforcement Learning ⁎ ⁎ This work was supported in part by the US National Science Foundation under NSF IIS-1925500 and NSF CNS-1939058
|
Mehta, Dhruv K |
|
|
59 |
3 |
p. 79-84 |
artikel |
2 |
A New HOFA Approach and Evaluation for Quadrotor Control over Feedback Linearization Methods
|
Lu, Shi |
|
|
59 |
3 |
p. 186-191 |
artikel |
3 |
Assessing the Decisional Capability for an ODD-Compliant Automatic Lane Change System via Sense-Think-Act Paradigm
|
Cardenas, Rhandy |
|
|
59 |
3 |
p. 162-167 |
artikel |
4 |
Augmented Reality-Enhanced Digital Twin for Automated Vehicle Testing
|
Khaire, Rohan |
|
|
59 |
3 |
p. 174-179 |
artikel |
5 |
Automated Driving Construction Vehicle for Lane Line Repainting ⁎ ⁎ The work was supported in part by Korea Innovation Foundation through the Ministry of Science and ICT (2024-DG-RD0033), in part by Electronics and Telecommunications Research Institute (ETRI) grant funded by the Korean government. (25ZD1130, Regional Industry ICT Convergence Technology Advancement and Support Project in Daegu-GyeongBuk), in part by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. 2022R1C1C1011785).
|
Choi, Junghyun |
|
|
59 |
3 |
p. 157-161 |
artikel |
6 |
A Vehicle Lane-Change Lateral Motion and Behavior Predictive Model
|
Yan, Yiming |
|
|
59 |
3 |
p. 7-12 |
artikel |
7 |
Contents
|
|
|
|
59 |
3 |
p. i-vii |
artikel |
8 |
Contextual-Graph Topology for Efficient and Real-Time Cooperative Intersection Management
|
He, Shan |
|
|
59 |
3 |
p. 151-156 |
artikel |
9 |
Data-Driven Detection of Simultaneous Cyberphysical Faults in Connected Electric Vehicle Platoons
|
Qiu, Jeffrey |
|
|
59 |
3 |
p. 91-96 |
artikel |
10 |
Efficient and Risk-Aware Framework for Autonomous Navigation in Resource-Constrained Configurations
|
Benrabah, Mohamed |
|
|
59 |
3 |
p. 127-132 |
artikel |
11 |
Efficient Attitude Estimation for Mobile Wheeled Robots Using Elevation Maps
|
Mousse, Charifou Orou |
|
|
59 |
3 |
p. 61-66 |
artikel |
12 |
Ethical and legal aspects of using combat robots
|
Kowalczuk, Zdzisław |
|
|
59 |
3 |
p. 145-150 |
artikel |
13 |
Evolution of a Smart Mobile Robotic Platform for In-Orbit Space Applications
|
Dremann, Kayla |
|
|
59 |
3 |
p. 180-185 |
artikel |
14 |
Exploring Optimal Pumping Strategy in Active Suspension Systems for Speed Maximization during Downhill Motion ⁎ ⁎ This work is supported in part by National Science Foundation through Award #2237317.
|
Zhou, Zhaodong |
|
|
59 |
3 |
p. 67-72 |
artikel |
15 |
Feature-Based Thresholding as a Defense Against Adversarial Attacks on Road Signs
|
Bensted, Henry |
|
|
59 |
3 |
p. 168-173 |
artikel |
16 |
Hierarchical Flocking Control Strategy for Underactuated Autonomous Surface Vehicles with Integrated Obstacle Avoidance ⁎ ⁎ This work was supported by the Agencia Estatal de Investigación (AEI) through the Project AQUATRONIC under Grant PID2021-126921OA-C22, through the Project ECOPORT under Grant TED2021-131326A-C22. Luis Orihuela would like to thank the Agencia Estatal de Investigación for the Ramón y Cajal fellowship under Grant RYC2021-032919-I.
|
Morel, Thalia |
|
|
59 |
3 |
p. 115-120 |
artikel |
17 |
Human Impact of Visual Detail in Vehicle Lane-Keeping System Communication
|
Lee, Yu Chul |
|
|
59 |
3 |
p. 19-24 |
artikel |
18 |
Hybrid Optimization Method for Safe Autonomous Navigation under Uncertainty
|
Alao, Emmanuel |
|
|
59 |
3 |
p. 121-126 |
artikel |
19 |
Immersion and Invariance Adaptive Observers for Online Electric Vehicle Mass Estimation ⁎ ⁎ This work was partially supported by the U.S. Department of Energy awards DE-EE0009223 and DE-EE0010404.
|
Ahn, Hyunjin |
|
|
59 |
3 |
p. 37-42 |
artikel |
20 |
Improving the Design of Linear Controllers for Platooning under Disturbances ⁎ ⁎ This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001 and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq).
|
Silva, E.A. |
|
|
59 |
3 |
p. 109-114 |
artikel |
21 |
Incentivizing Cooperative Merging Control: Insights from Multi-Agent Deep Reinforcement Learning ⁎ ⁎ This manuscript has been authored in part by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The publisher acknowledges the US government license to provide public access under the DOE Public Access Plan (https://energy.gov/doe-public-access-plan).
|
Zhou, Anye |
|
|
59 |
3 |
p. 103-108 |
artikel |
22 |
Learning Autonomy: Off-Road Navigation Enhanced by Human Input
|
Nagariya, Akhil |
|
|
59 |
3 |
p. 139-144 |
artikel |
23 |
Mitigation Strategy for Navigation Errors in Strict Route Plans
|
Almudhaf, Mohammad |
|
|
59 |
3 |
p. 133-138 |
artikel |
24 |
Modeling human-autonomy team steering behavior in shared-autonomy driving scenarios
|
Mai, Rene E. |
|
|
59 |
3 |
p. 13-18 |
artikel |
25 |
Multi-scenarios multi-objective predictive controller for lateral control of autonomous vehicles
|
Sudi Bin-Ali, Joyce |
|
|
59 |
3 |
p. 73-78 |
artikel |
26 |
Neighbor Selections and Impacts on Vehicle Flocking Control with Time Delays and Unknown Disturbances
|
Wang, Gang |
|
|
59 |
3 |
p. 97-102 |
artikel |
27 |
Real-time predictive modeling of flight delays using distributed systems and machine learning
|
Kowalczuk, Z. |
|
|
59 |
3 |
p. 198-203 |
artikel |
28 |
Reflectivity Is All You Need!: Advancing LiDAR Semantic Segmentation
|
Viswanath, Kasi |
|
|
59 |
3 |
p. 43-48 |
artikel |
29 |
Reinforcement Learning-Based Autonomous Braking Control for One-Pedal Driving
|
Ahmed, Syed Adil |
|
|
59 |
3 |
p. 1-6 |
artikel |
30 |
RL-MPC Framework for Data-driven Energy Management in Mild Hybrid Electric Vehicles
|
Park, Suyong |
|
|
59 |
3 |
p. 85-90 |
artikel |
31 |
Time-Optimal Lane Change for Tractor-Semitrailer on Varying Road Friction: Performance Bounds for Autonomous Driving ⁎ ⁎ The research presented in this paper was funded by AllDrive, which is a project led by Scania CV AB together with KTH Royal Institute of Technology, Klimator AB and Luleå University of Technology. AllDrive is financed by the Vinnova Strategic Vehicle Research and Innovation program (FFI).
|
Vallinder, Gustav |
|
|
59 |
3 |
p. 25-30 |
artikel |
32 |
Towards Resilient Tracking in Autonomous Vehicles: A Distributionally Robust Input and State Estimation Approach
|
Azizi, Kasra |
|
|
59 |
3 |
p. 31-36 |
artikel |
33 |
Twin-Models-Based Controller Output Observer for Vehicle Dynamics Estimation: Concept, Design and Validation ⁎ ⁎ This work is supported by the PROCORE-France/Hong Kong Joint Research Scheme, by the HM-Science ANR-21-CE48-0021, by the RITMEA project, by the Hauts-de-France Region, by the European Community, by the Ministry of Higher Education and Research, by the French National Center for Scientific Research, by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Brasil - Finance Code 001, and by the CAPES-COFECUB program (Grant numbers: 88887.987117/2024-00, Ma1076/25, 52828NB).
|
Oliveira, Ariany |
|
|
59 |
3 |
p. 55-60 |
artikel |
34 |
Upgrading an Automated Vehicle Research Platform for Enhanced Perception and Distributed Computing
|
Ding, Haoran |
|
|
59 |
3 |
p. 49-54 |
artikel |
35 |
Vertical Drone Delivery with Obstacle Avoidance ⁎ ⁎ We acknowledge the financial support of the Natural Sciences and Engineering Research Council of Canada (NSERC).
|
Al-Musallami, Nasser |
|
|
59 |
3 |
p. 192-197 |
artikel |