most citedA Survey of Deep Learning Techniques for Autonomous Driving

1.8k citations · 1.8k across the 5 of their papers we have counts for

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cs.CV2020

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…

cs.CV2019

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

Liviu Marina, Bogdan Trasnea, Cocias Tiberiu +3

Grid maps obtained from fused sensory information are nowadays among the most popular approaches for motion planning for autonomous driving cars. In this paper, we introduce Deep G…