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pro vyhledávání: '"Arpita Chand"'
Publikováno v:
SAE Technical Paper Series.
With the proliferation of ADAS and autonomous systems, the quality and quantity of the data to be used by vehicles has become crucial. In-vehicle sensors are evolving, but their usability is limited to their field of view and detection distance. V2X
Autor:
Sharma Abhishek, Cynthia M. Neubecker, Jian Yang, Pramita Mitra, Christian Poellabauer, Arpita Chand
Publikováno v:
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation.
The trajectory of traffic participants is an essential source for pattern mining and knowledge discovery in urban mobility. However, real-world trajectory data are often not publicly available due to privacy concerns or intellectual property constrai