Deep Neural Network Perception Models and Robust Autonomous Driving Systems

Shafiee, Mohammad Javad, Jeddi, Ahmadreza, Nazemi, Amir, Fieguth, Paul, Wong, Alexander

Mar-4-2020–arXiv.org Machine Learning

This paper analyzes the robustness of deep learning models in autonomous driving applications and discusses the practical solutions to address that.

adversarial attack, arxiv preprint arxiv, robustness, (12 more...)

arXiv.org Machine Learning

Mar-4-2020

Country:
- North America
  - United States (0.14)
  - Canada > Ontario
    - Waterloo Region > Waterloo (0.04)
- Europe
  - United Kingdom > England
    - Cambridgeshire > Cambridge (0.04)
  - Italy > Calabria
    - Catanzaro Province > Catanzaro (0.04)

Genre:
- Research Report (1.00)

Industry:
- Information Technology > Robotics & Automation (1.00)
- Automobiles & Trucks (1.00)
- Transportation > Ground
  - Road (1.00)

Technology:
- Information Technology > Artificial Intelligence
  - Robots > Autonomous Vehicles (1.00)
  - Machine Learning > Neural Networks
    - Deep Learning (1.00)

Duplicate Docs Excel Report

Title
None found

Similar Docs Excel Report more

Title	Similarity	Source
None found