1.8k citations · 1.9k across the 12 of their papers we have counts for
12 papers
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…
Cloud2Edge Elastic AI Framework for Prototyping and Deployment of AI Inference Engines in Autonomous Vehicles
Sorin Grigorescu, Tiberiu Cocias, Bogdan Trasnea +3
Self-driving cars and autonomous vehicles are revolutionizing the automotive sector, shaping the future of mobility altogether. Although the integration of novel technologies such…
GFPNet: A Deep Network for Learning Shape Completion in Generic Fitted Primitives
Tiberiu Cocias, Alexandru Razvant, Sorin Grigorescu
In this paper, we propose an object reconstruction apparatus that uses the so-called Generic Primitives (GP) to complete shapes. A GP is a 3D point cloud depicting a generalized sh…