Real time complex scene segmentation and prediction in urban environments

Lead Research Organisation: University of Surrey
Department Name: Vision Speech and Signal Proc CVSSP

Abstract

Real time complex scene segmentation and prediction in urban environments The project will be looking at
spatiotemporal sematic segmentation and prediction of actions of other road users in the context of SAE level 4-5
autonomous vehicles. But specifically, it will focus on inner city/urban driving. It will focus on the computer vision tools for
segmentation and reasoning about scene content and motion with integration into ROS and testing on our autonomous
testbed.

Publications

10 25 50

Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/T517616/1 30/09/2019 29/09/2025
2327211 Studentship EP/T517616/1 01/01/2020 31/12/2023 Avishkar Jayant Saha