A Survey of Collaborative Perception in Intelligent Vehicles at Intersections
As an important component of intelligent transportation systems, collaborative perception
has made great progress in recent years. In collaborative perception, multiple devices rely …
has made great progress in recent years. In collaborative perception, multiple devices rely …
Multi-sensor fusion and segmentation for autonomous vehicle multi-object tracking using deep Q networks
Autonomous vehicles, often known as self-driving cars, have emerged as a disruptive
technology with the promise of safer, more efficient, and convenient transportation. The …
technology with the promise of safer, more efficient, and convenient transportation. The …
Real-time Roadside 3D Spatial Perception With LiDAR AIoT: An Edge-Cloud-Terminal Collaborative Sensing Prototype
In vehicle-road cooperation, the advancement of vehicle-side autonomous driving is
hindered by bottlenecks such as limited sensing range, computational power, and …
hindered by bottlenecks such as limited sensing range, computational power, and …
SDC-Net++: End-to-End Crash Detection and Action Control for Self-Driving Car Deep-IoT-Based System
MA Tolba, HA Kamal - Sensors, 2024 - mdpi.com
Few prior works study self-driving cars by deep learning with IoT collaboration. SDC-Net,
which is an end-to-end multitask self-driving car camera cocoon IoT-based system, is one of …
which is an end-to-end multitask self-driving car camera cocoon IoT-based system, is one of …
Motion Target Monitoring And Recognition In Video Surveillance Using Cloud–Edge–Iot And Machine Learning Techniques
We are aware that autonomous vehicle handles camera and LiDAR data pipelines and uses
the sensor pictures to provide an autonomous object identification solution. While current …
the sensor pictures to provide an autonomous object identification solution. While current …
Road Actor Intention Prediction using Video Auto-Encoders
V Tata, A Kumar, H Alva - 2024 - sae.org
In our research paper, we propose a novel method for identifying road actor intention in
autonomous systems. We utilize a trainable neural network based on the Transformer …
autonomous systems. We utilize a trainable neural network based on the Transformer …
[PDF][PDF] Clarity of Knowledge Gap between IoT and AoT
R Sen, J Saha, K Banerjee - pdfs.semanticscholar.org
In this era, we have the basic idea of “Internet of Things”. We know that IoT refers to the vast
network of interconnected physical devices or" things" that are embedded with sensors …
network of interconnected physical devices or" things" that are embedded with sensors …