Update README.md

README.md

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 # Q-Drone UWB Benchmark Dataset
 ## Overview
-We introduce the Q-Drone UWB Benchmark Dataset, gathered using the Q-Drone system—a UAV equipped with an UWB network developed at York University. The data collection occurred over five diverse environments totaling a flight duration of 1 hour, 50 minutes, and 28 seconds and covered approximately 4.3 kilometers.
-
+We present a unique UWB benchmark dataset, called Q-Drone UWB benchmark. Q-Drone system, a UAV with UWB network built at York University, was used for acquiring this benchmark over five different sites, which include an indoor, open sports field, near to a building with glasses, semi-open tunnel and underneath bridge. The benchmark data were acquired by flying for a total of 1 h 50 min 28 sec flight time and about 4.3 km traveling distances with different maneuvering patterns and spatial configuration between UAV and UWB anchors as shown in the following table.
 ### Environments and Locations
 The data were collected from the following sites:
 - **Indoor:** Indoor environment, 26m(w) x 33m(l), Oshawa, Ontario, Canada
@@ -41,3 +40,22 @@ The specifics of data acquired per dataset include data points, IMU measurements
 
 ## Conclusion
 This comprehensive dataset aims to aid in the development of UWB technologies by providing diverse scenarios and extensive benchmark data for performance testing under different environmental conditions.
+
+citation: |
+  @inproceedings{arjmandi2020uwb,
+    title={Benchmark Dataset of Ultra-Wideband Radio Based UAV Positioning},
+    author={Arjmandi, Zahra and Kang, Jungwon and Park, Sohn Kunwoo and Gunho},
+    booktitle={IEEE International Conference on Intelligent Transportation Systems},
+    year={2020}
+  }
+
+note: |
+  If you use this dataset in your research, please cite the following paper:
+  
+  @inproceedings{arjmandi2020uwb,
+    title={Benchmark Dataset of Ultra-Wideband Radio Based UAV Positioning},
+    author={Arjmandi, Zahra and Kang, Jungwon and Park, Sohn Kunwoo and Gunho},
+    booktitle={IEEE International Conference on Intelligent Transportation Systems},
+    year={2020}
+  }
+