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Found 6 papers, 2 papers with code
Progression Cognition Reinforcement Learning with Prioritized Experience for Multi-Vehicle Pursuit
For the more challenging problem of pursuing multiple evading vehicles, these algorithms typically select a fixed target evading vehicle for pursuing vehicles without considering dynamic traffic situation, which significantly reduces pursuing success rate.
DNN-Driven Compressive Offloading for Edge-Assisted Semantic Video Segmentation
Existing compression algorithms are not fit for semantic segmentation, as the lack of obvious and concentrated regions of interest (RoIs) forces the adoption of uniform compression strategies, leading to low compression ratios or accuracy.
ICDAR2019 Competition on Scanned Receipt OCR and Information Extraction
In this competition, we set up three tasks, namely, Scanned Receipt Text Localisation (Task 1), Scanned Receipt OCR (Task 2) and Key Information Extraction from Scanned Receipts (Task 3).
Key Information Extraction
Optical Character Recognition (OCR)
+1
Deep Learning Based Intelligent Inter-Vehicle Distance Control for 6G Enabled Cooperative Autonomous Driving
New channel access algorithms and intelligent control schemes for connected vehicles are needed for 6G supported CAV.
6G for Vehicle-to-Everything (V2X) Communications: Enabling Technologies, Challenges, and Opportunities
Aiming for truly intelligent transportation systems, we envision that machine learning will play an instrumental role for advanced vehicular communication and networking.
Autonomous Vehicles
Information Theory
Networking and Internet Architecture
Information Theory
6G Cellular Networks and Connected Autonomous Vehicles
With 5G mobile communication systems been commercially rolled out, research discussions on next generation mobile systems, i. e., 6G, have started.
