Human Activity Understanding for Autonomous Driving Systems - Honda Research Institute USA

Human Activity Understanding for Autonomous Driving Systems

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Human Activity Understanding for Autonomous Driving Systems

Job Number: P24INT-09
This project focuses on the development of computer vision and machine learning algorithms to recognize, interpret and predict human actions and activities in videos, with particular emphasis on action anticipation.
San Jose, CA

 

Key Responsibilities

 
  • Develop algorithms to advance research in human activity understanding. Potential research topics include (but not limited to): action recognition and localization, action anticipation, early action recognition, 2D/3D human pose estimation etc.
  • Optimize algorithms for low latency, ensuring real-time performance on high end GPUs and preferably on in-car hardware.
  • Support the development of a benchmark dataset for the evaluation of results.
  • Develop and evaluate metrics to verify the reliability of the proposed algorithms.
  • Contribute to a portfolio of patents, academic publications, and prototypes to demonstrate research value.

 

Minimum Qualifications

 
  • Ph.D. or highly qualified M.S. candidate in computer science, electrical engineering, robotics, or related field
  • Strong research experience in computer vision, machine learning, and/or robotics.
  • Experience in open-source deep learning frameworks such as PyTorch or Tensorflow.
  • Strong communication and teamwork abilities, along with excellent problem-solving skills and attention to detail.
  • Excellent programming skills in Python.

 

Bonus Qualifications

  • Hands-on experience in video understanding, especially for human activity understanding.
  • Publications in top-tier conferences (CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, etc.)

 

Years of Work Experience Required  0
Desired Start Date 5/19/2025
Internship Duration 3 Months
Position Keywords Autonomous Driving, Human Action Detection, Computer Vision

 

 
 

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