Enhancing object detection in self-driving cars using a hybrid approach
Recent advancements in artificial intelligence (AI) have greatly improved the object
detection capabilities of autonomous vehicles, especially using convolutional neural …
detection capabilities of autonomous vehicles, especially using convolutional neural …
An Intelligent Fuzzy Inference System for High Priority Vehicles in Vehicular Named Data Networks
A Kaushik, B Kaur, RS Bali… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
With the tremendous increase in the number of on-road vehicles, travel time for High Priority
vehicles is touching alarming levels. In case of an emergency, this can lead to loss of life. To …
vehicles is touching alarming levels. In case of an emergency, this can lead to loss of life. To …
A Fuzzy Optimized Route Selection Framework for Autonomous Vehicles using V-NDN
A Kaushik, RS Bali, G Srivastava - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Rapid mobility and frequent disconnection in vehicular networks makes multi-hop data
delivery challenging. To address this concern, adaptive data forwarding is applied over …
delivery challenging. To address this concern, adaptive data forwarding is applied over …
Object Detection for Self-Driving Car in Complex Traffic Scenarios
B Das, P Agrawal - MATEC Web of Conferences, 2024 - matec-conferences.org
The application of convolutional neural networks (CNNs) in particular has greatly enhanced
the object detection capabilities of self-driving cars, because of recent advancements in …
the object detection capabilities of self-driving cars, because of recent advancements in …