Raviteja Boddu, M. Eng.

Research

Research Areas

• NLP, Large Language Models
• Vehicle interior monitoring
• Environment monitoring

Current Projekte

• Hochschul-Assistenz-System (HAnS)
• KI-basierten Lokalisierung und Kartierung (Mapping) und einer KI-basierten Trajektorien-Prädiktion und Objektvalidierung (KI-MoWe)

Completed Projekte

• Insassenüberwachung in autonomen Fahrzeugen zur adaptiven Aktivierung von Sicherheitssystemen (IFAS)
• SAVEROAD (Master Thesis)

Vita

• Since 2024: Research associate at AImotion
• 2022 - 2024: Research associate at CARISSMA Institute of Safety in Future Mobility (C-ISAFE)
• 2021 - 2022: Master Thesis + Student Assistant at Technischen Hochschule Ingolstadt, Topic: Multimodel fusion approach using Lidar, Camera and Radar for object detection and estimation of tracking parameters for pre-crash scenarios
• 2019 - 2020: Student Assistant at Technischen Hochschule Ingolstadt, Topic: Programming of  OPCUA Servers und Clients
• 2019 - 2022: Master of Engineering (M. Eng.), International Automotive Engineering at Technischen Hochschule Ingolstadt
• 2018 - 2019: Production Engineer at Sieger Technologies, India
• 2014 - 2018: Bachelor of Engineering, Mechanical Engineering at Sreenidhi Institute of Science and Technology, India

Publications

• Boddu Raviteja, Dhara Sai Deepak and Penumarthi Ashok Chowdary,Structural and Thermal Analysis of Brake Rotor, International Journal of AutomobileEngineering (IJAUE), 2(1), 2018, pp. 1-6.http://www.iaeme.com/IJAUE/issues.asp?JType=IJAUE&VType=2&IType=1
• Boddu Raviteja, Nakirikanti Nitesh, Ganti Pavan Kumar and Gujjula Haravind Reddy,  Braking System  Design for  All Terrian  Vehicle  (ATV), International Journal of Mechanical Engineering and Technology, 9(4), 2018,  pp. 983 990. iaeme.com/Home/issue/IJMET