Change Management in Deep Learning for Environment Understanding and Mapping in Autonomous Vehicles
Keywords:
stabilizing, vehicle positionAbstract
In recent years, numerous startups and established companies, including Waymo, Zoox, Mobileye, Tesla, Uber, Drive.ai, and Aptivo, have focused on the development of self-driving vehicles. This heightened interest stems from pressing issues such as pollution, traffic congestion, and safety concerns. Automated vehicles present a promising solution to enhance the efficiency of transportation systems and reduce driver costs. The current trajectory of autonomous vehicle development emphasizes a revolutionary electronic control model: driving by wire. This paradigm shift redefines traditional driver interaction by positioning the automated driving system as the vehicle’s core component, enabling seamless integration within the overall vehicle system. This intelligent system utilizes automatic control to perform a range of driving tasks, including environmental observation, vehicle positioning, path planning, path tracking, and stabilization adjustments. By effectively navigating complex scenarios—such as avoiding vehicles and pedestrians—this automated system meets essential driving requirements while underscoring the importance of change management in adapting to these innovative technologies.
Downloads
References
Vemoori, Vamsi. "Envisioning a Seamless Multi-Modal Transportation Network: A Framework for Connected Intelligence, Real-Time Data Exchange, and Adaptive Cybersecurity in Autonomous Vehicle Ecosystems." Australian Journal of Machine Learning Research & Applications 4.1 (2024): 98-131.
Prabhod, Kummaragunta Joel. "AI-Driven Insights from Large Language Models: Implementing Retrieval-Augmented Generation for Enhanced Data Analytics and Decision Support in Business Intelligence Systems." Journal of Artificial Intelligence Research 3.2 (2023): 1-58.
Sadhu, Ashok Kumar Reddy, et al. "Enhancing Customer Service Automation and User Satisfaction: An Exploration of AI-powered Chatbot Implementation within Customer Relationship Management Systems." Journal of Computational Intelligence and Robotics 4.1 (2024): 103-123.
Tatineni, Sumanth. "Applying DevOps Practices for Quality and Reliability Improvement in Cloud-Based Systems." Technix international journal for engineering research (TIJER)10.11 (2023): 374-380.
Perumalsamy, Jegatheeswari, Bhavani Krothapalli, and Chandrashekar Althati. "Machine Learning Algorithms for Customer Segmentation and Personalized Marketing in Life Insurance: A Comprehensive Analysis." Journal of Artificial Intelligence Research 2.2 (2022): 83-123.
Venkatasubbu, Selvakumar, Subhan Baba Mohammed, and Monish Katari. "AI-Driven Storage Optimization in Embedded Systems: Techniques, Models, and Real-World Applications." Journal of Science & Technology 4.2 (2023): 25-64.
Devan, Munivel, Bhavani Krothapalli, and Lavanya Shanmugam. "Advanced Machine Learning Algorithms for Real-Time Fraud Detection in Investment Banking: A Comprehensive Framework." Cybersecurity and Network Defense Research 3.1 (2023): 57-94.
Althati, Chandrashekar, Bhavani Krothapalli, and Bhargav Kumar Konidena. "Machine Learning Solutions for Data Migration to Cloud: Addressing Complexity, Security, and Performance." Australian Journal of Machine Learning Research & Applications 1.2 (2021): 38-79.
Keerthika, R., and Ms SS Abinayaa, eds. Algorithms of Intelligence: Exploring the World of Machine Learning. Inkbound Publishers, 2022.
Selvaraj, Amsa, Bhavani Krothapalli, and Lavanya Shanmugam. "AI and Machine Learning Techniques for Automated Test Data Generation in FinTech: Enhancing Accuracy and Efficiency." Journal of Artificial Intelligence Research and Applications 4.1 (2024): 329-363.
Makka, A. K. A. “Implementing SAP on Cloud: Leveraging Security and Privacy Technologies for Seamless Data Integration and Protection”. Internet of Things and Edge Computing Journal, vol. 3, no. 1, June 2023, pp. 62-100, https://thesciencebrigade.com/iotecj/article/view/286.
Konidena, Bhargav Kumar, Jesu Narkarunai Arasu Malaiyappan, and Anish Tadimarri. "Ethical Considerations in the Development and Deployment of AI Systems." European Journal of Technology 8.2 (2024): 41-53.
Devan, Munivel, et al. "AI-driven Solutions for Cloud Compliance Challenges." AIJMR-Advanced International Journal of Multidisciplinary Research 2.2 (2024).
Katari, Monish, Gowrisankar Krishnamoorthy, and Jawaharbabu Jeyaraman. "Novel Materials and Processes for Miniaturization in Semiconductor Packaging." Journal of Artificial Intelligence General science (JAIGS) ISSN: 3006-4023 2.1 (2024): 251-271.
Tatineni, Sumanth, and Naga Vikas Chakilam. "Integrating Artificial Intelligence with DevOps for Intelligent Infrastructure Management: Optimizing Resource Allocation and Performance in Cloud-Native Applications." Journal of Bioinformatics and Artificial Intelligence 4.1 (2024): 109-142.
Katari, Monish, Lavanya Shanmugam, and Jesu Narkarunai Arasu Malaiyappan. "Integration of AI and Machine Learning in Semiconductor Manufacturing for Defect Detection and Yield Improvement." Journal of Artificial Intelligence General science (JAIGS) ISSN: 3006-4023 3.1 (2024): 418-431.
Prakash, Sanjeev, et al. "Achieving regulatory compliance in cloud computing through ML." AIJMR-Advanced International Journal of Multidisciplinary Research 2.2 (2024).
Peddisetty, Namratha, and Amith Kumar Reddy. "Leveraging Artificial Intelligence for Predictive Change Management in Information Systems Projects." Distributed Learning and Broad Applications in Scientific Research 10 (2024): 88-94.
Venkataramanan, Srinivasan, et al. "Leveraging Artificial Intelligence for Enhanced Sales Forecasting Accuracy: A Review of AI-Driven Techniques and Practical Applications in Customer Relationship Management Systems." Australian Journal of Machine Learning Research & Applications 4.1 (2024): 267-287.
Althati, Chandrashekar, Jesu Narkarunai Arasu Malaiyappan, and Lavanya Shanmugam. "AI-Driven Analytics: Transforming Data Platforms for Real-Time Decision Making." Journal of Artificial Intelligence General science (JAIGS) ISSN: 3006-4023 3.1 (2024): 392-402.
Venkatasubbu, Selvakumar, and Gowrisankar Krishnamoorthy. "Ethical Considerations in AI Addressing Bias and Fairness in Machine Learning Models." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 1.1 (2022): 130-138.
Makka, A. K. A. “Implementing SAP on Cloud: Leveraging Security and Privacy Technologies for Seamless Data Integration and Protection”. Internet of Things and Edge Computing Journal, vol. 3, no. 1, June 2023, pp. 62-100, https://thesciencebrigade.com/iotecj/article/view/286.
