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Found 4 papers, 0 papers with code
Why Studying Cut-ins? Comparing Cut-ins and Other Lane Changes Based on Naturalistic Driving Data
In this paper, we explore to compare driving characteristics of cut-ins and other lane changes based on naturalistic driving data.
The Normal Distributions Indistinguishability Spectrum and its Application to Privacy-Preserving Machine Learning
We apply the NDIS theorem to derive DP mechanisms for queries with normally-distributed outputs -- i. e., Gaussian Random Projections (RP) -- and for more general queries -- i. e., Ordinary Least Squares (OLS).
Distributed Observers-based Cooperative Platooning Tracking Control and Intermittent Optimization for Connected Automated Vehicles with Unknown Jerk Dynamics
Then, a novel distributed platooning tracking control protocol is proposed to construct the cooperative tracking controllers under identical inter-vehicle constraints, which can ensure a desired safety distance among the CAVs and allow each follower CAV to track their leader CAV by using only local information interaction.
A Novel and Efficient Tumor Detection Framework for Pancreatic Cancer via CT Images
Experimental results achieve competitive performance in detection with the AUC of 0. 9455, which outperforms other state-of-the-art methods to our best of knowledge, demonstrating the proposed framework can detect the tumor of pancreatic cancer efficiently and accurately.
