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07/19/2021
ObserveNet Control: A Vision-Dynamics Learning Approach to Predictive Control in Autonomous Vehicles
A key component in autonomous driving is the ability of the self-driving...
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06/02/2021
OctoPath: An OcTree Based Self-Supervised Learning Approach to Local Trajectory Planning for Mobile Robots
Autonomous mobile robots are usually faced with challenging situations w...
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05/27/2021
LVD-NMPC: A Learning-based Vision Dynamics Approach to Nonlinear Model Predictive Control for Autonomous Vehicles
In this paper, we introduce a learning-based vision dynamics approach to...
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05/27/2021
Embedded Vision for Self-Driving on Forest Roads
Forest roads in Romania are unique natural wildlife sites used for recre...
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09/23/2020
Cloud2Edge Elastic AI Framework for Prototyping and Deployment of AI Inference Engines in Autonomous Vehicles
Self-driving cars and autonomous vehicles are revolutionizing the automo...
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06/03/2020
GFPNet: A Deep Network for Learning Shape Completion in Generic Fitted Primitives
In this paper, we propose an object reconstruction apparatus that uses t...
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10/17/2019
A Survey of Deep Learning Techniques for Autonomous Driving
The last decade witnessed increasingly rapid progress in self-driving ve...
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09/20/2019
AIBA: An AI Model for Behavior Arbitration in Autonomous Driving
Driving in dynamically changing traffic is a highly challenging task for...
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06/26/2019
NeuroTrajectory: A Neuroevolutionary Approach to Local State Trajectory Learning for Autonomous Vehicles
Autonomous vehicles are controlled today either based on sequences of de...
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01/16/2019
Deep Grid Net (DGN): A Deep Learning System for Real-Time Driving Context Understanding
Grid maps obtained from fused sensory information are nowadays among the...
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01/16/2019
GridSim: A Vehicle Kinematics Engine for Deep Neuroevolutionary Control in Autonomous Driving
Current state of the art solutions in the control of an autonomous vehic...
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12/19/2018