Object Detection for Autonomous Driving Using Deep Learning
The main objective of this doctoral thesis is to exploit Convolutional Neural Network (CNN) capabilities to efficiently perform scene understanding in the autonomous driving context. We aim to achieve this high level objective starting from low level CNN-based features such as optical flow and per-pixel semantic segmentation.
The work is under the scope of the following projects:
- Cargo-ANTS: Cargo handling by Automated Next generation Transportation Systems for ports and terminals (web)