TY  - JOUR
PY  - 2019//
TI  - Forward-lane integrity watchdog system
JO  - International journal of recent technology and engineering
A1  - Ebenezer, Adlene
A1  - Vignesh, S. Karthik
A1  - Kishore, B. Sai
A1  - Gokul, A.
SP  - 2784
EP  - 2788
VL  - 8
IS  - 4
N2  - Today there exist a lot of smart vehicles which can change lane on their own, using their sensors to detect the vehicles around them and using various neural or non-neural algorithms to detect the lane on the road. But these are inherently limited to well-structured road environment and struggle with unstructured road or damaged road. This paper aims to propose a new system, based on cloud and deep-learning neutral networks to process images from each region to train a neural network to be highly efficient in that particular region. We use "Collective wisdom" of people along with data analysis to improve the accuracy of the model.<p />  <p>Language: en</p>
LA  - en
SN  - 2277-3878
UR  - http://dx.doi.org/10.35940/ijeat.B2282.129219
ID  - ref1
ER  -