Utkarsh Sharma work email
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Utkarsh Sharma personal email
I am interested in developing modular, scalable solutions to problems regarding Autonomous driving, vehicle controls and ADAS, while improving the efficiency and response of embedded systems, with a focus on safety.
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Lead Feature Algorithm DeveloperStoneridgeNovi, Mi, Us
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Engineering Manager | Sr Sw Architect AiStoneridge Sep 2024 - PresentNovi, Michigan, Us -
Lead Feature Algorithm DeveloperStoneridge Apr 2021 - Sep 2024Novi, Michigan, Us• Leading the feature design, algorithm development and validation of Camera monitor system features, with focus on reliability, modularity and scalability.•Provide guidance for documentation, define design processes and algorithm architecture.•Ensure production readiness and optimized performance of feature code in embedded HW.•Develop Algo-system architecture and review feature operational design domain(ODD) with stakeholders.• Received 2022 Stoneridge President's award for outstanding contributions.• 10 Patents filed till date. 3 currently in production.
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Senior Algorithm Development EngineerStoneridge Jan 2021 - Mar 2021Novi, Michigan, Us•Developed and validated(SiL/MiL/HiL testing) robust algorithms utilising fusion of computer vision and kinematic models for Camera monitor systems
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Algorithm EngineerAptiv Jan 2019 - Jan 2021Dublin, Ie•Developed ASIL compliant L2, L2+ features and vehicle state estimation algorithms for production vehicles using multiple sensor modalities.•Supported requirements and scenario creation, at simulation and vehicle level for validation.•Performed unit testing and model debugging/analysis for ISO26262 compliance -
Graduate Research Assistant At Roahm/Fcav LabUniversity Of Michigan Apr 2018 - Dec 2018Ann Arbor, Michigan, Us•Performed System Identification on a Ford fusion in CarSim , to develop an accurate Hybrid regression model for predicting vehicle states during various maneuvers .This utilized the steering wheel angle, throttle and braking inputs along with other measurable vehicle states.•Created an algorithm to implement feed-forward and feedback based optimal control using LQR with constraints, on the high fidelity CarSim vehicle, to enable tracking of the trajectories generated using forward reachability constraints and Dubins car model. Subsequently designed separate robust Model Predictive Controllers(MPC) for switching between different trajectory types, with better adherence to saturation and rate limits on vehicle inputs.• Carried out simulations in CarSim using a custom environment and multiple obstacles for an optimal, reachability based safe path planner, in conjunction with Model Predictive Controllers for trajectory tracking. -
Graduate StudentUniversity Of Michigan College Of Engineering Aug 2017 - Dec 2018Ann Arbor, Mi, Us• Implemented a Trajectory planning and optimization algorithm based on direct collocation method and other inbuilt MATLAB functions for a non-linear state space vehicle model .This trajectory was then used to maneuver the vehicle from start to finish in the shortest time possible subject to obstacles, actuator and trajectory constraints. (Stood 4th among 35 teams in the competition).• Implemented Adaptive cruise control on a MPC5643L micro controller with hardware based user inputs for throttle, steering control and haptic feedback through a DC motor.• Designed a controller along with low pass filters and integral windup schemes for a multi link robotic arm in MATLAB/Simulink using reverse kinematics. The robot could catch projectiles thrown at a max. speed of 23 m/s based on actuator constraints.• Designed a Scalar reference governor for providing an optimal input to a double integrator system with a set reference without violating constraints, using both online and offline computation strategies, as a fast scheme for implementing Model predictive control.The approach via offline computation led to a 30 - 50% improvement in computation time compared to standard MPC schemes. -
Assistant Manager Chassis Design, Product DevelopmentMahindra Trucks And Buses Limited Aug 2014 - Jun 2017Mumbai, Maharashtra, In
Utkarsh Sharma Skills
Utkarsh Sharma Education Details
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University Of Michigan College Of EngineeringAutomotive Engineering -
Vit UniversityMechanical With Spec. In Automotive Engg.
Frequently Asked Questions about Utkarsh Sharma
What company does Utkarsh Sharma work for?
Utkarsh Sharma works for Stoneridge
What is Utkarsh Sharma's role at the current company?
Utkarsh Sharma's current role is Lead feature algorithm developer.
What is Utkarsh Sharma's email address?
Utkarsh Sharma's email address is us****@****tiv.com
What schools did Utkarsh Sharma attend?
Utkarsh Sharma attended University Of Michigan College Of Engineering, Vit University.
What skills is Utkarsh Sharma known for?
Utkarsh Sharma has skills like Product Development, Control Systems Design, Matlab, Simulink, System Modelling, Automotive Engineering, Design Failure Mode And Effect Analysis, Computer Aided Design, Machine Learning, Embedded Systems, Catia, Solidworks.
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