Vehicle Perception researcher with a strong background in computer vision and robotics. I'm currently working on the Indy Autonomous Challenge, where I develop and implement the perception stack of the racing cars. The hardware perception package I work with Involves Luminar Lidars, Mako Cameras, Radars, and GPSs all connected to a Cisco 5000 Series switch. mMy previous experience includes computer vision internships, robotics projects, and secure database and file sharing systems. I'm also currently working on a project investigating the suitability of DQR on constrained RL tasks from OpenAI's safety gym simulation with Aaron Kandel. Reach out to [email protected] for inquiries
Junior Year EECS Undergrad @ UC Berkeley
Highlights
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IAC_dataset_maker
IAC_dataset_maker PublicForked from amansrf/IAC_dataset_maker
A simple repository with a pipeline to identify and extract important camera data to be labelled.
Python 2
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IAC_Euclidean_Clustering_Lidar_F1Cars
IAC_Euclidean_Clustering_Lidar_F1Cars PublicROS2 Euclidean Clustering for Pointclouds after applying Lidar-camera Projection, with date filtered with a YOLO Bounding box
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