12 citations · 34 across the 6 of their papers we have counts for
6 papers
Inverse RL Scene Dynamics Learning for Nonlinear Predictive Control in Autonomous Vehicles
Sorin Grigorescu, Mihai Zaha
This paper introduces the Deep Learning-based Nonlinear Model Predictive Controller with Scene Dynamics (DL-NMPC-SD) method for autonomous navigation. DL-NMPC-SD uses an a-priori n…
CyberCortex.AI: An AI-based Operating System for Autonomous Robotics and Complex Automation
Sorin Grigorescu, Mihai Zaha
The underlying framework for controlling autonomous robots and complex automation applications are Operating Systems (OS) capable of scheduling perception-and-control tasks, as wel…
ObserveNet Control: A Vision-Dynamics Learning Approach to Predictive Control in Autonomous Vehicles
Cosmin Ginerica, Mihai Zaha, Florin Gogianu +3
A key component in autonomous driving is the ability of the self-driving car to understand, track and predict the dynamics of the surrounding environment. Although there is signifi…
OctoPath: An OcTree Based Self-Supervised Learning Approach to Local Trajectory Planning for Mobile Robots
Bogdan Trasnea, Cosmin Ginerica, Mihai Zaha +3
Autonomous mobile robots are usually faced with challenging situations when driving in complex environments. Namely, they have to recognize the static and dynamic obstacles, plan t…
Embedded Vision for Self-Driving on Forest Roads
Sorin Grigorescu, Mihai Zaha, Bogdan Trasnea +1
Forest roads in Romania are unique natural wildlife sites used for recreation by countless tourists. In order to protect and maintain these roads, we propose RovisLab AMTU (Autonom…
LVD-NMPC: A Learning-based Vision Dynamics Approach to Nonlinear Model Predictive Control for Autonomous Vehicles
Sorin Grigorescu, Cosmin Ginerica, Mihai Zaha +2
In this paper, we introduce a learning-based vision dynamics approach to nonlinear model predictive control for autonomous vehicles, coined LVD-NMPC. LVD-NMPC uses an a-priori proc…