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    Ankit Laddha

    Perception Engineer at UberATG

    Ankit Laddha is a Perception Tech Lead in the Experimental Perception Algorithms team at Aurora.1 He leads multiple projects using Machine Learning and Deep Learning for sensor fusion, object detection, semantic and instance segmentation, and trajectory and behavior prediction.1

    Ankit holds a master's degree in robotics from Carnegie Mellon University and a bachelor's degree in electrical engineering from Indian Institute of Technology Delhi.1 He has published several papers in prestigious conferences such as CVPR, EMNLP, and IV, and has patents related to self-driving technologies.1

    Prior to his current role, Ankit worked as a Researcher at Uber, where he contributed to autonomous vehicle technology.2 His work includes co-authoring a paper titled "LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving," which was presented at a computer vision conference.3

    Ankit's expertise lies in autonomous driving, object detection, semantic segmentation, trajectory prediction, and motion estimation.2 He has also been involved in various research projects, collaborating with notable researchers in the field of computer vision and robotics.2

    Highlights

    ‪Ankit Laddha‬ - ‪Google Scholar‬
    Feb 6 · auto-ai.com
    Ankit Laddha - Auto.AI USA
    Apr 17 · toptal.com
    Ankit Laddha - Developer in Berlin, Germany | Toptal®
    Ankit Laddha - Developer in Berlin, Germany | Toptal®
    Jan 1 · openreview.net
    Ankit Laddha - OpenReview

    Related Questions

    What are some of the key projects Ankit Laddha has led at Aurora?
    How did Ankit Laddha's education at Carnegie Mellon University influence his career?
    What are the main technologies Ankit Laddha has worked with in his role at Aurora?
    Can you provide examples of papers or patents Ankit Laddha has published?
    How does Ankit Laddha's work at Aurora contribute to the development of self-driving cars?
    Ankit Laddha
    Ankit Laddha, photo 1
    Ankit Laddha, photo 2
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    Location

    Pittsburgh, Pennsylvania