Lv4
490 积分 2024-07-10 加入
Research on the Complexity Quantification Method of Driving Scenarios Based on Information Entropy
5小时前
待确认
Towards Complexity Level Classification of Driving Scenarios Using Environmental Information
7小时前
已完结
Definition and Quantification of the Complexity Experienced by Autonomous Vehicles in the Environment and Driving Task
2天前
已完结
Short-Term Traffic Forecasting using LSTM-based Deep Learning Models
30天前
已完结
Using the (Crystal) Ball: Forecasting Network Traffic Peaks with Football Events
30天前
已完结
Transactive Energy for Smart Charge: Coordination of Renewable Generation and EVs Smart Charging
1个月前
已完结
Cooperative Game-Based Charging-Discharging Efficiency Optimization of Electric Vehicles in 6G-Enabled V2G
1个月前
已完结
Research on an Orderly Charging Strategy for New Energy Charging Stations Based on Dynamic Electricity Prices and a Reservation Charging Mechanism for Electric Vehicles
1个月前
已完结
A Risk-Aware Architecture for Autonomous Vehicle Operation Under Uncertainty
1个月前
已完结
Using Drones as Reference Sensors for Neural-Networks-Based Modeling of Automotive Perception Errors**The research leading to these results is funded by the Federal Ministry for Economic Affairs and Energy within the project “VVM - Verification and Validation Methods for Automated Vehicles Level 4 and 5”. The authors would like to thank the consortium for the successful cooperation
1个月前
已完结
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