Hi! I am Savan, a Research Scientist in the Research Group Sensor Technology and Data Fusion for Environmental Perception at Technische Hochschule Ingolstadt (THI). Prior to that, I obtained Master of Engineering in International Automotive Engineering from the faculty of Electrical Engineering and Information Technology, Ingolstadt University of Applied Sciences.
My research focuses on computer vision and artificial intelligence, and their application in mobile robotics and intelligent infrastructure.
I am open to collaboration opportunities in 3D vision, VLM/VLA, Open-world/open-vocabulary scene understanding, and would love to explore potential synergies.
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Technische Hochschule Ingolstadt02/2020 - 09/2024M.Eng. in International Automotive Engineering -
Gujarat Technological University08/2016 - 05/2019B.Eng. in Mechanical Engineering -
Gujarat Technological University08/2013 - 05/2016Diploma in Mechanical Engineering
Experience
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Technische Hochschule Ingolstadt (IIMo)07/2024 - presentResearch Assistant (Wissenschaftlicher Mitarbeiter)
Research Group Sensor Technology and Data Fusion for Environmental Perception -
Technische Hochschule Ingolstadt (IIMo)06/2023 - 06/2024Part-Time Research Scientist (Wissenschaftlicher Mitarbeiter)
Research Group Sensor Technology and Data Fusion for Environmental Perception -
Fraunhofer Institute IVI06/2022 - 05/2023Student Researche Assistant Applied Center Connected Mobility and Infrastructure
News
Selected Publications
DriveOSS: Dataset and Benchmark for 3D Anomaly Segmentation and Open-set Semantic Segmentation in Autonomous Driving
👥 Zhiran Yan, Savankumar Bhanderi, Sourabh Lolge, Rui Song, Girdharbhai Paneliya, Shiva Agrawal, Gordon Elger
📜 WACV 2027
🌐 Project Page | Paper | Supplementary | Data+Code
DriveOSS: Dataset and Benchmark for 3D Anomaly Segmentation and Open-set Semantic Segmentation in Autonomous Driving
👥 Zhiran Yan, Savankumar Bhanderi, Sourabh Lolge, Rui Song, Girdharbhai Paneliya, Shiva Agrawal, Gordon Elger
📜 WACV 2027
🌐 Project Page | Paper | Supplementary | Data+Code