Institute of Transportation Engineers (ITE), UCONN Chapter的动态

I'm thrilled to have completed the insightful 'Future of Mobility: Emerging Technology in Autonomous Vehicles' course, led by Dr. Yong Wang, Associate Professor and Associate School Chair at the School of Systems Science and Industrial Engineering Binghamton University(September 2-4). This transformative program has significantly broadened my understanding of the rapidly evolving transportation landscape and cutting-edge autonomous vehicle technologies. Key takeaways include: - Innovative business models and strategies driving the autonomous revolution - Collaborative approaches to sustainable mobility - Cutting-edge AV technologies shaping the next generation of transportation Under Dr. Wang's expert guidance, I've gained valuable expertise to contribute to the future of mobility. I'm eager to apply my knowledge, drive innovation, and join the conversation on shaping transportation's next chapter. It seems like you're referring to a successful collaboration between Mangalore Institute of Technology & Engineering (MITE) and Binghamton University, facilitated by a Memorandum of Understanding (MOU). Bring on the autonomous revolution! #FutureOfMobility #AutonomousVehicles #Innovation #Sustainability #TransportationRevolution #LeadersInMobility #EmergingTech

Delighted to share our research on a cutting-edge topic: transformation of media consumption by autonomous vehicles. Check out the poster to see how the future of mobility is changing media landscapes! ??

I am pleased to announce that my final PhD thesis paper has been published in the IEEE Open Journal of Intelligent Transportation Systems. This paper presents a novel black-box testing framework for autonomous vehicles. This framework evaluates the vehicle's behavior using offline trajectories and a reward modeling technique to identify potential failure events. It focuses on efficient testing without the need for complex adversarial learning and shows significant improvements in failure detection compared to traditional methods. Paper: https://lnkd.in/dbYbGy2C

Advancing self-driving cars using a remote driving station! ?? Meet Integrated Engineering Students Parker Gu, Tony Jiang, Rowan Zawadski, Mankanwar Singh and Harrison Narvey. They created a remote driving system for people to connect to and navigate self-driving vehicles, allowing them to avoid hazards beyond the algorithm. "While artificial intelligence excels at recognizing patterns and predicting events based on observed data, the situations encountered on our roadways are often unpredictable. Human intuition, judgment and the ability to understand social cues are still necessary to navigate complex scenarios." Learn more about their #UBCEngineering capstone project! ??

Last week, I had the opportunity to present and discuss the core contributions of my research on model-based predictive control of autonomous marine vehicles (AMVs) at Industrial Systems and Control Ltd. The discussions were invaluable and will significantly influence my overall PhD research, aiming to better address motion control challenges under realistic operating conditions. As seen in the picture, the panel included renowned scholars in industrial control systems. From the right, going counterclockwise: Dr. Gerrit van der Molen, Prof. Ikuo Yamamoto, my humble self ?? and Prof. Mike Grimble.

?????????????? ???? ?????????? ?? ?????????? ?????????????????? ???? ???? ???????????????? ??????????????! I am thrilled to announce the publication of my first research paper titled "???????????????? ????????????????????-?????????? ????????????-???????????????? ???????????? ?????????????? ???? ?????????????????? ????????????????" in the ???????? ???????????????????????? ???? ?????????????????? ????????????????????. This research, conducted under the guidance of Professor Siavash Farzan at WPI, explores the field of cruise control in vehicular platoons. The paper addresses the challenges posed by the absence of vehicle-to-vehicle (V2V) communication, focusing on enhancing highway throughput and vehicle safety. Here’s a brief overview of our contributions: ????????????????????-?????????? ?????????????? ????????????: We have developed a control system that estimates the states of the preceding vehicle, ensuring the autonomous vehicle operates safely without V2V communication. ?????????????????? ?????? ????????????: Our safety-critical controller, using Lyapunov functions and Control Barrier Functions, ensures the safety and stability of vehicle platoons, even in the presence of potential estimation errors. ???????????????? ??????: Our controller incorporates an adaptive law to estimate error bounds, allowing for the least conservative distance between vehicles. ?????????????????? ????????????????????: We have demonstrated the practical viability and effectiveness of the controller in real-world scenarios through physics-realistic simulations. You can read the full paper here: [IEEE Early Access](https://lnkd.in/egw2R-AE) A heartfelt thank you to Professor Farzan for his invaluable support and guidance. I look forward to exploring further advancements in multi-robot systems! #Research #CruiseControl #VehicularTechnology #IEEE #AcademicAchievement #SafetyInTech #AutonomousVehicles #MultiRobotSystems

I am excited to announce that I have embarked on an innovative project at the University of Florida under the guidance of Dr. Sandip Ray from the Department of Electrical & Computer Engineering at the Herbert Wertheim College of Engineering. Collaborating with my peer, Akhil Sai K, we are addressing a critical challenge in connected and autonomous vehicles (CAVs). Our project focuses on modeling both benign and malicious scenarios for CAVs during the merging process on an on-ramp. The core of our research aims to develop robust algorithms and employ machine learning techniques to tackle the issue of malicious attacks—specifically, the dissemination of false information among vehicles. By leveraging advanced sensor technology, our goal is to train these vehicles in a simulation environment to efficiently verify critical data such as speed, position, and the proximity of nearby vehicles. This will enable them to make safe and accurate decisions about whether to speed up or slow down in order to merge efficiently. This opportunity to combine machine learning with sensor technology to enhance the safety and efficiency of autonomous driving is not just a step toward academic advancement but also a stride toward future mobility solutions.

Research Topic: Autonomous Vehicles and Advancements in Object Detection Technology Dr. Mohammad ElYabroudi is one of our new faculty members who has already embarked on collecting data for his current research on autonomous vehicles. One of his research projects involves advancements in object detection technology, focusing specifically on traffic signs in the USA under challenging conditions. This research addresses complex scenarios such as severe weather conditions, shadows, and sun glare to improve the recognition of traffic signs, which are crucial for understanding traffic laws and directions. The initial phase involves extensive data collection, labeling, and preprocessing. The upcoming phase will see the release of a comprehensive public dataset uniquely centered on USA traffic signs. This dataset features meticulous pixel-level labels and includes various environmental attributes, such as: *** Weather Conditions: Sunny, foggy, snowy, and rainy *** Types of Roads: Highway, suburban *** Contextual Factors: Construction zones, school zones, residential zones *** Complexity Levels: Easy, moderate, complex These detailed attributes, combined with improved object detection algorithms, promise to significantly enhance the accuracy and reliability of traffic sign detection systems. Dr. ElYabroudi’s research gate profile: https://lnkd.in/enQeR8Jt #autonomous #ADAS #artificialintelligence #AI Lawrence Technological University Lawrence Tech Electrical and Computer Engineering (ECE)

I am pleased to share my recent publications, which highlight my research in vehicle dynamics and align closely with challenges in autonomous driving. I would greatly appreciate your feedback, advice, and any opportunities for collaboration. Constructing critical control parameters to keep vehicle away from divergent loss of stability Vehicle System Dynamics?(?IF?3.5?Submission Guide >)?Pub Date:?2024-05-07?, DOI:10.1080/00423114.2024.2351573 Volodymyr Verbytskyy?1?,?Mike Blundell?2?,?Vladimir Vantsevich?3 Affiliations Visiting Professor, Future Transport and Cities Research Centre, Coventry University, Coventry, UK Professor of Vehicle Dynamics and Safety, Future Transport and Cities Research Centre, Coventry University, Coventry, UK Co-Director Autonomous Vehicle Mobility Institute, Worcester Polytechnic Institute, Worcester, USA This paper describes a proposed methodology for the vehicle dynamics modelling and analysis of the stationary states for a two-axle road vehicle subject to a constant external lateral force and a r... Bifurcation analysis of static stability of a tractor-semitrailer under circular motions Vehicle System Dynamics?(?IF?3.5?Submission Guide >)?Pub Date:?2023-05-22?, DOI:10.1080/00423114.2023.2214258 Vladimir Verbitskii?1?,?Anatoliy Bezverhyi?1?,?Vlad Lobas?2?,?Reza N. Jazar?3 Affiliations Department of Software of Automated Systems, Zaporizhzhia National University, Zaporizhzhia, Ukraine Department of Stability of Process, Institution of Mechanics NAS of Ukraine, Kyiv, Ukraine School of Engineering, RMIT University, Melbourne, Australia This paper analyses a general qualitative depiction of changes in the configuration of the non-linear model of a tractor-semitrailer with excessive turnability under stationary circular motions wit...

?? Graduated! I am excited to share that I have completed my Master’s degree in Robotics from TU Delft. My thesis, titled "Mode Collapse Happens: Evaluating Critical Interactions in Joint Trajectory Prediction Models", was awarded an 8.5/10 grade. My research focused on evaluating trajectory prediction models, which are essential for autonomous vehicles to plan safe and collision-free paths. I developed a novel evaluation framework to explicitly assess the interaction modes among vehicle trajectories, providing researchers with new insights and ultimately enhancing the safety of autonomous driving systems. You can read more about it here: https://lnkd.in/eyQTypST I would also like to thank my supervisors, Anna Mészáros and Zlatan Ajanovi?, for their guidance and support throughout my research. For now, I’m taking some time to recharge and carefully consider my next career steps. If you have exciting opportunities in motorsport, robotics, or AI, please feel free to reach out! #Graduation #TUDelft #Robotics #Thesis #AutonomousVehicles #TrajectoryPrediction #CareerOpportunities #MotorSport #Robotics #AI