• Raman Ahlawat
• Shalini bhadola

AR research has advanced to such a level that new research opportunities arise. These opportunities can attract the attention of research and the interests of researchers who deal with geospatial data and its applications at regular intervals. They provided an excellent review of the current development of AR research. Emphasis is placed on the follow-up of the research with the aim of proposing new research topics on the development of new localization techniques and improving the performance and soundness of the follow-up. As discussed in recent conferences and youth literature, a trend in computer vision tracking techniques are model-based tracking methods that require a 3D CAD model of environments or a 2D model. It should be noted that recently acquired 3D models can contribute to the further development of robust localization techniques in urban areas in combination with other sensors (e.g. GPS and inertial sensor) to build a hybrid tracking solution. The need for a hybrid tracker is due to the complementary nature of the sensor and the vision-based trackers.This review focused on the various augmented reality city tracking.

Custom camera, google map , google map api

"A review on Augmented reality city tracking", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.f763-f769, June-2022, Available :http://www.jetir.org/papers/JETIR2206597.pdf

"A review on Augmented reality city tracking", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppf763-f769, June-2022, Available at : http://www.jetir.org/papers/JETIR2206597.pdf