Moloy Das
Computer Vision and Analytics Programmer at Qualcomm Institute - UC San Diego Division of Calit2- Claim this Profile
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Bio
Experience
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Qualcomm Institute - UC San Diego Division of Calit2
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United States
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Non-profit Organizations
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1 - 100 Employee
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Computer Vision and Analytics Programmer
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Feb 2023 - Present
San Diego, California, United States
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Rivian
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United States
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Motor Vehicle Manufacturing
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700 & Above Employee
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Engineering Intern, Self Driving, ADAS Team
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Jun 2023 - Sep 2023
◦ Sensor Fusion: Implemented factor graph-based vehicle state estimation using IMU and Wheel Odometry sensors to perform robust ego-pose estimation. ◦ Simulation: Performed data generation using Carla for validation of pose estimation algorithms. ◦ Evaluation: Evaluated and showcased the benefits of using Factor Graph against EKF for sensor fusion.
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NVIDIA
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United States
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Computer Hardware Manufacturing
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700 & Above Employee
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Senior Systems Software Engineer
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Mar 2022 - Jun 2022
Pune, Maharashtra, India Implemented Checks and fixed bugs in the validation pipeline to ensure maps being created are correct and appropriate flags are raised for the errors detected.
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Vimaan
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United States
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Automation Machinery Manufacturing
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1 - 100 Employee
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Module Lead - Robotics
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Jan 2022 - Mar 2022
Bengaluru, Karnataka, India
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Robotics Software Engineeer
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Feb 2020 - Dec 2021
Bengaluru, Karnataka, India • Implemented 13-state Quaternion-based Error-State Extended Kalman filter to fuse odometry and pose estimates using fiducial marker. • Packaged a VIO algorithm in ROS and was responsible for testing and Validating the algorithm. • A Model-based Auxiliary odometry was developed for an emergency landing in case of primary Navigation Stack failure. • Semantic Segmentation networks were trained and tested for a localization algorithm. It was further optimized using… Show more • Implemented 13-state Quaternion-based Error-State Extended Kalman filter to fuse odometry and pose estimates using fiducial marker. • Packaged a VIO algorithm in ROS and was responsible for testing and Validating the algorithm. • A Model-based Auxiliary odometry was developed for an emergency landing in case of primary Navigation Stack failure. • Semantic Segmentation networks were trained and tested for a localization algorithm. It was further optimized using TensorRT to achieve about 4x performance boost over PyTorch implementation with marginal loss inaccuracy. • Using an off-the-shelf environment in Unreal Engine 4, object detection network was trained and tested in the simulation environment using AirSim. Moreover, SIL testing was done with Gazebo to validate the entire obstacle detection pipeline.
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International Institute of Information Technology Hyderabad (IIITH)
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India
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Higher Education
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700 & Above Employee
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Research Assistant
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Apr 2019 - Jan 2020
Hyderabad Area, India •Developed a differentiable Line based Lidar-Camera extrinsic calibration method. Resection loss was used as cost function and was implemented using Kornia package. Rotation and Translation parameters were optimized using PyTorch’s Autograd package. •Segmentation of point cloud was performed by mapping 3D points to the segmented image using extrinsic parameters. Fast-SCNN network (Rudra PK et. al.) was used for image segmentation and was fine-tuned on Indian driving dataset (IDD)… Show more •Developed a differentiable Line based Lidar-Camera extrinsic calibration method. Resection loss was used as cost function and was implemented using Kornia package. Rotation and Translation parameters were optimized using PyTorch’s Autograd package. •Segmentation of point cloud was performed by mapping 3D points to the segmented image using extrinsic parameters. Fast-SCNN network (Rudra PK et. al.) was used for image segmentation and was fine-tuned on Indian driving dataset (IDD) to improve its accuracy on Indian driving conditions. •Configured LOAM(Ji Zhang et. al.) for Velodyne’s VLP-16 Lidar and used it as an odometry source for an Autonomous Vehicle project. To improve Navigation Stack’s robustness against highly dynamic environments (Case where LOAM fails), the odometry from LOAM was fused with GPS using an Extended Kalman filter. •Part of the core team to built a Hexacopter for pick and place operation by following GPS way-points which was exhibited during IIIT Hyderabad’s R&D showcase. Show less
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Tonbo Imaging
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India
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Defense & Space
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100 - 200 Employee
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Member of the Technical Staff, Embedded Engineer
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Jun 2017 - Dec 2018
India • Responsible for the firmware development of the inertially stabilized Pan Tilt Unit of a product called T-Rex (an advanced long range reconnaissance and observation system). • The system was made stable and robust to high velocity winds. It was validated in wind tunnel at 60kmph and reported good performance. • Worked on Soft/Hard Iron compensation for magnetometer to make attitude measurement more stable when placed near stepper motors or any other magnetic field generating… Show more • Responsible for the firmware development of the inertially stabilized Pan Tilt Unit of a product called T-Rex (an advanced long range reconnaissance and observation system). • The system was made stable and robust to high velocity winds. It was validated in wind tunnel at 60kmph and reported good performance. • Worked on Soft/Hard Iron compensation for magnetometer to make attitude measurement more stable when placed near stepper motors or any other magnetic field generating devices. • Implemented Cascaded PID loop to make system responsive, disturbance resistant and achieve smooth performance. • Investigated the accuracy and performance of Kalman filter, Median filter, IIR filter and moving average filter on sensor noise filtering. Show less
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Tonbo Imaging
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India
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Defense & Space
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100 - 200 Employee
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Intern
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Jul 2016 - Dec 2016
Bengaluru Area, India • Contributed in the Development the firmware of Motion Control Unit of an inertially stabilized Pan-Tilt Unit which resulted in successful demo. • Using IoT Module, Created an interface to communicate with the system over Internet.
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GreyOrange
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United States
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Software Development
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700 & Above Employee
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Summer Research Intern
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Jun 2016 - Jul 2016
Gurgaon, India Development of a notebook reader for the visually challenged readers. • A helmet like a device embedded with a camera. • The Device acts as a slave and uses laptop's computing power to process images and transfers the extracted text back to the device in order to recite it. • My role was to design and specify the hardware required for it. • Designed a converter board and a hub to which all the peripherals are attached.
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Essar Power
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Oil and Gas
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300 - 400 Employee
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Intern
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May 2015 - Jul 2015
Jamnagar, Gujarat, India Study of Steam Turbines and its energy losses and hence calculating its efficiency. • To study the working of different parts in Steam Turbine. • Visits to power plant and understand the functioning of every unit in plant.
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Education
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UC San Diego Jacobs School of Engineering
Master's degree, Electrical and Computer Engineering -
Birla Institute of Technology and Science, Pilani
Bachelor of Engineering (B.E.), Mechanical Engineering