%0 Journal Article %1 refficient %A R, Manoj C %D 2017 %J Advanced Computational Intelligence: An International Journal (ACII %K (ADAS) 3D Advanced FCA HOG SFM assistance avoidance classification collision detection driver object reconstruction %N 1/2 %P 01 - 08 %R 10.5121/acii.2017.4201 %T An Efficient System for Forward Collison Avoidance Using Low Cost Camera %U http://airccse.org/journal/acii/vol4.html %V 4 %X Forward Collision Avoidance (FCA) systems in automobiles is an essential part of Advanced Driver Assistance System (ADAS) and autonomous vehicles. These devices currently use, radars as the main sensor. The increasing resolution of camera sensors, processing capability of hardware chipsets and advances in image processing algorithms, have been pushing the camera based features recently. Monocular cameras face the challenge of accurate scale estimation which limits it use as a stand-alone sensor for this application. This paper proposes an efficient system which can perform multi scale object detection which is being patent granted and efficient 3D reconstruction using structure from motion (SFM) framework. While the algorithms need to be accurate it also needs to operate real time in low cost embedded hardware

@article{refficient, abstract = {Forward Collision Avoidance (FCA) systems in automobiles is an essential part of Advanced Driver Assistance System (ADAS) and autonomous vehicles. These devices currently use, radars as the main sensor. The increasing resolution of camera sensors, processing capability of hardware chipsets and advances in image processing algorithms, have been pushing the camera based features recently. Monocular cameras face the challenge of accurate scale estimation which limits it use as a stand-alone sensor for this application. This paper proposes an efficient system which can perform multi scale object detection which is being patent granted and efficient 3D reconstruction using structure from motion (SFM) framework. While the algorithms need to be accurate it also needs to operate real time in low cost embedded hardware}, added-at = {2021-01-19T10:58:17.000+0100}, author = {R, Manoj C}, biburl = {https://www.bibsonomy.org/bibtex/22f346672afda6c82ef893494121dfd04/janakirob}, doi = {10.5121/acii.2017.4201}, interhash = {fd9e3fff5233c04bf4a27ad0c5a07374}, intrahash = {2f346672afda6c82ef893494121dfd04}, journal = {Advanced Computational Intelligence: An International Journal (ACII}, keywords = {(ADAS) 3D Advanced FCA HOG SFM assistance avoidance classification collision detection driver object reconstruction}, month = {April}, number = {1/2}, pages = {01 - 08}, timestamp = {2021-02-12T13:20:36.000+0100}, title = {An Efficient System for Forward Collison Avoidance Using Low Cost Camera}, url = {http://airccse.org/journal/acii/vol4.html}, volume = 4, year = 2017 }