Real time Driving Context Understanding using Deep Grid Net A Granular Approach is popular PDF and ePub book, written by Liviu A. MARINA in 2024-09-21, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Real time Driving Context Understanding using Deep Grid Net A Granular Approach can be Read Online from any device for your convenience.
Real time Driving Context Understanding using Deep Grid Net A Granular Approach Book PDF Summary
Numerous self-driving cars algorithms rely on grid maps for motion planning, obstacles avoidance or environment perception. Obtained from fused sensory information, the occupancy grids (OGs) are nowadays among the most popular solutions used in series production in automotive industry. In this paper, we extend Deep Grid Net (DGN), a deep learning(DL) system designed for understanding the context in which an autonomous car is driving.We consider this paper a granular approach to DGN method due to the improvements added to the original research.
Detail Book of Real time Driving Context Understanding using Deep Grid Net A Granular Approach PDF
- Author : Liviu A. MARINA
- Release : 21 September 2024
- Publisher : Infinite Study
- ISBN : 978186723xxxx
- Genre : Mathematics
- Total Page : 20 pages
- Language : English
- PDF File Size : 8,5 Mb
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