Deep Grid Net (DGN): A Deep Learning System for Real-Time Driving Context Understanding

16 January 2019

Papers citing "Deep Grid Net (DGN): A Deep Learning System for Real-Time Driving Context Understanding"

5 / 5 papers shown

Title
Inverse RL Scene Dynamics Learning for Nonlinear Predictive Control in Autonomous Vehicles Sorin Grigorescu Mihai V. Zaha AI4CE 44 0 0 02 Apr 2025
Deep Occupancy-Predictive Representations for Autonomous Driving Eivind Meyer Lars Frederik Peiss Matthias Althoff 37 3 0 07 Mar 2023
MINT: Deep Network Compression via Mutual Information-based Neuron Trimming Madan Ravi Ganesh Jason J. Corso Salimeh Yasaei Sekeh MQ 43 15 0 18 Mar 2020
NeuroTrajectory: A Neuroevolutionary Approach to Local State Trajectory Learning for Autonomous Vehicles Sorin Grigorescu Bogdan Trasnea L. Marina Andrei Vasilcoi Tiberiu T. Cocias 30 38 0 26 Jun 2019
A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application Dominik Nuss Stephan Reuter Markus Thom Ting Yuan Gunther Krehl M. Maile Axel Gern Klaus C. J. Dietmayer 64 148 0 09 May 2016