Distance and Speed Calculation of Planes & Automobiles
Main Article Content
Abstract
The main purpose of this project on board dat aquisiton for vehicles uisng Advanced risc machine controller, now a days the data aquisiton especially plays an important role vehicles an military applications to monitor and control the activiteis .Here in this project we are including ultrasonic sensor which can detect and measure the distance of the vehicles,give to the controller so based on that we can estimate the and secure or protect the required things,if any object comes near to our vhicle it will detect gives an indication, while moving that time any object hit us it automaticlly stops the vehicle, here the vibration sensor detect the vibration and sends data to the Arm controller then Arm perfoms specfic functins and automatically stops the vehicle .Here we have one liquid crystal display it will displays everthing like obstacle distance ranges ,pressure etc
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
IJCERT Policy:
The published work presented in this paper is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. This means that the content of this paper can be shared, copied, and redistributed in any medium or format, as long as the original author is properly attributed. Additionally, any derivative works based on this paper must also be licensed under the same terms. This licensing agreement allows for broad dissemination and use of the work while maintaining the author's rights and recognition.
By submitting this paper to IJCERT, the author(s) agree to these licensing terms and confirm that the work is original and does not infringe on any third-party copyright or intellectual property rights.
References
A. El-Sawah, N. Georganas, and E. Petriu, "A model for 3-D handtracking and signal estimation," IEEE Trans. Instrum. Meas., vol. 57,no. 8, pp. 1627–1636, Aug. 2008.
D. G. Lowe, "Unmistakable picture highlights from scale-invariant keypoints," Int. J. Comput. Vis., vol. 60, no. 2, pp. 91–110, Nov. 2004
A. Bosch, X. Munoz, and R. Marti, "Which is the most ideal approach to sort out/group pictures by substance?" Image Vis. Comput., vol. 25, no. 6, pp. 778– 791, Jun. 2007.
H. Zhou and T. Huang, "Following enunciated hand movementwith Eigen flow examination," in Proc. Int. Conf. Comput. Vis., 2003, vol. 2, pp. 1102–1109.
B. Stenger, "Layout based hand posture acknowledgment utilizing numerous prompts," in Proc. seventh ACCV, 2006, pp. 551–560.
L. Bretzner, I. Laptev, and T. Lindeberg, "Hand motion acknowledgment utilizing multiscale shading components, hieracrchichal models and molecule separating," in Proc. Int. Conf. Autom. Face Gesture Recog., Washington, DC, May 2002.
A. Argyros and M. Lourakis, "Vision-based understanding of hand signals for remote control of a PC mouse," in Proc. Workshop Comput.Human Intera