Aditya Tripathi-Forensic Accident Reconstruction Using Virtual Reality
Check rate
Experience
Forensic Accident Reconstruction Using Virtual Reality
- Implemented a method to visualize an accident scenario simulated in IPG CarMaker using Virtual Reality.
- Extracted 2D fisheye videos and processed them using the Hugin Panorama Stitcher to obtain equirectangular image frames, compiled together to form VR compatible 360° videos.
Human Centric Path Planning Using Reinforcement Learning in Partially Observable Environments
- Implemented a Reinforcement Learning (AI) based UAV path planning strategy to safely navigate in occlusion dense maps.
- Trained an RL agent in different partial observability configurations and investigated the influence of past environment knowledge on policy learning.
- Balanced map visibility and navigational safety with path efficiency to learn trajectories that prioritize safety and visibility.
Working Student
Fraunhofer Institute for Transportation and Infrastructure Systems (IVI)
- Developed a 2D simulation environment modelling partial observability for reinforcement learning based (AI) path planning.
- Built a dataset generation pipeline to produce optimized weighted occupancy grids and synthetic images of occlusion dense environment maps.
- Completed Bachelor Thesis in collaboration with Fraunhofer IVI.
Integration of Software Modules for UAV Path Finding in the Octas Simulation Environment
- Integrated PX4 Autopilot, QGroundControl, and a custom 3D simulation environment (Octas) to create a unified framework for classical and AI based UAV path finding tasks.
- Containerized the integrated UAV system using Docker, ensuring consistent deployment, simplified setup, and improved portability across environments.
- Implemented the Weighted Bidirectional-Astar (Bi-A*) algorithm for UAV path planning tasks like street-following and airspace-avoidance in 3D simulations, enabling adaptive and task-specific navigation.
Student Intern
Fraunhofer Institute for Transportation and Infrastructure Systems (IVI)
- Updated, integrated and containerized software modules necessary for simulated UAV navigation.
- Implemented objective specific classical pathfinding in a custom 3D simulation environment.
Printed Electronics for Smart Wearables
- Supported R&D of printed electronics using copper nanoparticle sintering.
- Printed conductive copper inks on substrates using Direct-Ink-Writing (DIW) and stencil printing and used Surface-Mount Technology (SMT) to prepare samples.
- Analysed sintered samples using microscopy and profilometry.
Research Assistant
Institute for Innovative Mobility, University of Applied Sciences
- Supported R&D in the field of assembly and connection technology using copper nanoparticle sintering.
- Prepared test samples and conducted dimensional and electrical analysis of sintered samples.
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Aerospace and Defense, Manufacturing, Education, and Automotive.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Product Development, Research and Development, and Information Technology.
Skills
- Programming Languages: Python, C++, C, Html, Css, Typescript, Bash, Latex
- Software And Tools: Linux, Ros2, Docker, Pytorch, Stablebaselines3, Px4 Autopilot, Qgroundcontrol, Matlab, Simulink
- Relevant Coursework: Mobile Robots & Ros, Embedded Systems, Sensor Data Processing And Fusion, Foundations Of Machine Learning, Control Engineering, Planning & Decision-Making Algorithms, Modelling & Simulation
Languages
Education
University of Applied Sciences, Ingolstadt
B.Eng., Autonomous Vehicle Engineering · Autonomous Vehicle Engineering · Ingolstadt, Germany · 1,6 (9 CGPA)
Amity University, Noida
B.Tech., Robotics Engineering · Robotics Engineering · Noida, India · 9.5 CGPA
Army Public School, Noida
Senior Secondary School Certificate · Senior Secondary School Certificate · Noida, India · 99.2%
Certifications & licenses
Python For Data Analysis: Pandas & NumPy
Coursera
ROS2 For Beginners
Udemy
Supervised Machine Learning: Regression & Classification
Coursera
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Aditya is based in Ingolstadt, Germany and prefers 100% remote projects.
Aditya speaks the following languages: Hindi (Native), English (Advanced), German (Intermediate).
Aditya has at least 2 years of experience. During this time, Aditya has worked in at least 7 different roles and for 2 different companies. The average length of individual experience is 4 months. Note that Aditya may not have shared all experience and actually has more experience.
Based on recent experience, Aditya would be well-suited for roles such as: Forensic Accident Reconstruction Using Virtual Reality, Human Centric Path Planning Using Reinforcement Learning in Partially Observable Environments, Working Student.
Aditya's most recent position is Forensic Accident Reconstruction Using Virtual Reality.
In recent years, Aditya has worked for Fraunhofer Institute for Transportation and Infrastructure Systems (IVI), Institute for Innovative Mobility and University of Applied Sciences.
Aditya is most experienced in industries like Aerospace and Defense, Manufacturing, and Education. Aditya also has some experience in Automotive.
Aditya is most experienced in business areas like Product Development, Research and Development, and Information Technology.
Aditya holds a Bachelor in Autonomous Vehicle Engineering from University of Applied Sciences, Ingolstadt and a Bachelor in Robotics Engineering from Amity University, Noida.
Aditya has 3 certificates. These include: Python For Data Analysis: Pandas & NumPy, ROS2 For Beginners, and Supervised Machine Learning: Regression & Classification.
The availability of Aditya needs to be confirmed.
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Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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