Dec 24, 2020 · One promising solution for reducing (or even resolving) such human errors is via autonomous or computer-assisted driving systems.
Mar 4, 2020 · This paper analyzes the robustness of deep learning models in autonomous driving applications and discusses the practical solutions to address ...
Improved Traffic Sign Detection in Autonomous Driving Using A Simulation-Based Deep Learning Approach Under Adverse Conditions · Engineering, Computer Science.
Mar 4, 2020 · Level 3 driving systems are ones that can truly be considered autonomous, a level of autonomy which can allow drivers to sit back and relax. As ...
An autonomous driving system is a fully automated and highly centralized car operation system for the work performed by drivers [1] [2] [3]. Realizing fully ...
Title, Deep Neural Network Perception Models and Robust Autonomous Driving Systems. Publication Type, Journal Article. Year of Publication, 2020.
Nov 5, 2024 · Deep learning models promise to deliver higher precision at much lower computational engine loads. The success of deep learning models has outperformed the ...
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Sep 8, 2022 · Here we propose a deep learning-based self-supervised approach for ego-motion estimation that is a robust and complementary localization solution under ...
Dec 24, 2020 · The perception system (and especially the sensing the world module) is the first step between the outside world and the autonomous driving ...
Autonomous vehicles (AVs) are currently being designed with the aim of reducing fatalities in accidents by being insusceptible to typical driver errors, and in ...