2D and 3D Road Scene Understanding - Honda Research Institute USA

2D and 3D Road Scene Understanding

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2D and 3D Road Scene Understanding

Job Number: P24INT-12
The goal of this internship will be to perform scene understanding in and around intersection. This would include detection of an intersection from large distances, estimating distance of the ego car from the intersection, and estimation of the lane structure at the different branches of intersections – without using lidar and prior map information.
San Jose, CA

 

Key Responsibilities

 
  • Train deep learning models on our internal datasets for the problem, and experiment with numerous different neural network designs and training strategies to improve performance. Develop innovative models to advance the performance of HD map estimation using camera data exclusively.
  • Test the models in real-world scenarios and iteratively enhance them by addressing identified shortcomings.
  • Publish your work at conferences.

 

Minimum Qualifications

 
  • Proficiency with pytorch, python.
  • Experience with training perception models using deep learning.
  • The candidate should be enrolled in a Masters or PhD in Computer Science or related field, or they must have finished their degree recently.

 

Bonus Qualifications

  • Relevant scene understanding related publications in conferences such as CVPR, ICCV, ECCV, WACV, etc.
  • Prior experience in road scene understanding.
  • Experience with vision-language models, and experience with unsupervised /weakly supervised learning.
  • Experience with ROS (Robot Operating System).

 

Years of Work Experience Required  0
Desired Start Date 5/12/2025
Internship Duration 4 Months
Position Keywords Deep Learning, Computer Vision, Intersections

 

 
 

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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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