video dataset

We evaluated a video dataset created from our prior research in [1, 2]. We concentrate on an automotive application where an NVIDIA JetRacer autonomously traverses a circular circuit utilising steering commands produced by a DNN-based track identification model operated on a distant edge server. 1. Zhantileuov, E., Idrees, A. K., Heroorkar, S. R., & Schuster, R. (2025, December). Energy-efficient DNN Dividing Technique for Latency Optimization in Dynamic Mobile Edge Networks. In Proceedings of the Tenth ACM/IEEE Symposium on Edge Computing (pp. 1-11). 2. Zhantileuov, E., Heroorkar, S. R., Burbano, J. S., Idrees, A. K., & Schuster, R. (2025, December). ELENNA–End-to-end Latency and Energy-aware Neural Network Partitioning Allocation in Edge Computing. In Proceedings of the Tenth ACM/IEEE Symposium on Edge Computing (pp. 1-3).