Bird Eye View Perception - Honda Research Institute USA

Bird Eye View Perception

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Bird Eye View Perception

Job Number: P23INT-44
This internship concerns with developing Bird-Eye-View perception algorithms for semantic reconstruction of road geometry for Autonomous Driving. The candidate will collaborate with a diverse team of researchers and engineers on core topics in computer vision, deep learning and optimization. The candidate will be responsible for designing and implementing state-of-the-art deep learning models for Road Scene Structure Estimation and Road Topology Estimation delivering significant impact to the company and the autonomous driving industry.
San Jose, CA

 

Key Responsibilities

  • Design and development of Learning based Bird-Eye-View Perception Algorithms, specifically, 3D Road Geometry Reconstruction as Vector Maps and Road Topology Estimation from Vision.
  • Create and maintain datasets for training the network.
  • Develop evaluation metrics to confirm the efficacy of proposed algorithms.

 

 

Minimum Qualifications

  • Ph.D. or M.S student in Computer Science, Robotics, or related field.
  • Familiarity with Bird Eye View Perception Algorithms and literature.
  • Familiarity with SOTA Vision and Learning methods.
  • Ability to transfer conceptual models and ideas to working code in Python and/or C++.
  • Experience with Deep Learning frameworks PyTorch and/or TensorFlow

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Bonus Qualifications

  • Publication record in top venues including CVPR, ICCV, ICRA, IROS, ECCV, NeurIPS, ICLR, etc.
  • Hands on experience with Deep Learning model optimization techniques and real-time algorithms for edge devices.

 

Desired Start Date 01/06/2025 

 

Duration

 

3 Months
 

Alternate Way to Apply

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- Subject line including the job number(s) you are applying for 
- Recent CV 
- A cover letter highlighting relevant background (Optional)

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