SNIC
SUPR
SNIC SUPR
Deep Learning for Intelligent Autonomous Vehicles
Dnr:

SNIC 2018/4-6

Type:

SNAC Small

Principal Investigator:

Eren Aksoy

Affiliation:

Högskolan i Halmstad

Start Date:

2018-02-28

End Date:

2019-03-01

Primary Classification:

10207: Computer Vision and Robotics (Autonomous Systems)

Webpage:

Allocation

Abstract

In this project, we will investigate the role of different sensory modalities, e.g. rgb cameras and lidar data, in the detection of vehicles and pedestrians by using state of the art deep learning methods. We will first test already available deep networks in the literature and then either customize them or implement a new network.