Research Intern: Semantic Maps for Autonomous Parking

Honda Ri; Mountain View (CA); Presencial; USD 22.000 - 36.000; A tiempo parcial

Descripción de la vacante

Honda Research Institute USA in Mountain View, CA, seeks a PhD research intern to advance online mapping and semantic scene understanding for autonomous parking. The project combines onboard camera data with vehicle pose to build a persistent semantic map of parking spaces, aisles, and conditions over time.

The role involves fusing observations, handling uncertainty, benchmarking accuracy, and evaluating map utility for navigation and parking-space selection, with results suitable for

Formación

• MS in robotics, CS, or related field.
• Strong background in computer vision, robotic perception, and ML.
• Proficiency in Python and PyTorch.
• Experience implementing and evaluating vision-based methods; ability to conduct independent research.

Responsabilidades

• Develop online semantic maps of parking spaces, aisles, entrances, connectivity, and obstructions.
• Fuse observations over time and represent uncertainty, occlusion, and changing conditions.
• Benchmark accuracy, temporal consistency, and runtime using real test-car data.
• Evaluate map utility for parking navigation; document findings, and contribute to publications.

Conocimientos

Python

Deep learning (PyTorch)

Computer vision

Robotics perception

Independent research

Educación

MS in Robotics/Computer Science or related field

Herramientas

ROS/ROS 2

C++

Descripción del empleo

Honda Research Institute USA in Mountain View, CA, seeks a PhD research intern to advance online mapping and semantic scene understanding for autonomous parking. The project combines onboard camera data with vehicle pose to build a persistent semantic map of parking spaces, aisles, and conditions over time.

The role involves fusing observations, handling uncertainty, benchmarking accuracy, and evaluating map utility for navigation and parking-space selection, with results suitable for