• Anita Gurjar
• Krishna Gupta

Every year lakhs of people lose their lives or seriously injured due to road accidents. Those accidents are due to sudden pedestrian crossing & un-ability of the driver to act sufficiently fast or apply braking. Another substantial amount of accidents occur due to sudden & uncontrolled braking. Also proper prediction of pedestrian crossing is of at most importance to autonomous driving vehicles. The proposed work is aimed at development of an advanced pedestrian detection system using combination of image processing & artificial intelligence. The proposed system is also aimed at differentiating pattern pedestrian presence & pedestrian crossing ROI processing & frame differentiation are employed for pedestrian segmentation from background & pattern recognition neural network is employed to detect pedestrian presence or crossing. Also a function fitting neural network is employed to determine braking force and rhea chive dynamic braking.

pedestrian, detection system, regulated road crossing, MATLAB, Artificial intelligence, image processing.

"Pedestrian presence & sudden crossing detection using image processing & artificial intelligence with collision avoidance braking assistance", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.a283-a291, June-2021, Available :http://www.jetir.org/papers/JETIR2106041.pdf

"Pedestrian presence & sudden crossing detection using image processing & artificial intelligence with collision avoidance braking assistance", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppa283-a291, June-2021, Available at : http://www.jetir.org/papers/JETIR2106041.pdf