An Improved Deep Learning-Based Technique for Driver Detection and Driver Assistance in Electric Vehicles with Better Performance
Technology for electric vehicles (EVs) is a developing subject that offers numerous advantages, such as reduced operating costs. Since the goal of EVs has always been to have long-lasting batteries, any new hardware might drastically diminish battery life. Errors are common among human beings. Becau...
Saved in:
Main Authors: | Gunapriya Balan, Singaravelan Arumugam, Suresh Muthusamy, Hitesh Panchal, Hossam Kotb, Mohit Bajaj, Sherif S. M. Ghoneim, null Kitmo |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | International Transactions on Electrical Energy Systems |
Online Access: | http://dx.doi.org/10.1155/2022/8548172 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Smart Technologies for Vehicle Safety and Driver Assistance
by: Mihai Dimian, et al.
Published: (2019-01-01) -
Efficient Artificial Neural Network for Smart Grid Stability Prediction
by: Saeed Mohsen, et al.
Published: (2023-01-01) -
Quantum Computing for Advanced Driver Assistance Systems and Autonomous Vehicles: A Review
by: Avantika Rattan, et al.
Published: (2025-01-01) -
Eco-driving optimal control for electric vehicles with driver preferences
by: Roberto Lot, et al.
Published: (2025-03-01) -
Factors Affecting Crash Involvement of Commercial Vehicle Drivers: Evaluation of Commercial Vehicle Drivers’ Characteristics in South Korea
by: Jooyoung Lee, et al.
Published: (2020-01-01)