LiDAR object detection algorithms based on neural networks for autonomous driving require
large amounts of data for training, validation, and testing. As real-world data collection and …

Edge computing is a new emerging technology which focuses on finding computation power
near Internet of Things (IoT) devices such as sensors, smart phones, and many more …

Object detection is one of the basic task of autonomous vehicles. Object detection of high
accuracy and fast detection speed are conducive to improve the safety of autonomous …

Perception algorithms for autonomous vehicles demand large, labeled datasets. Real-world
data acquisition and annotation costs are high, making synthetic data from simulation a cost …

Deploying machine learning (ML) models in production environments comes with
challenges such as the model's integration into live production and the missing trust of …

We present DeepIPCv2, an autonomous driving model that perceives the environment using
a LiDAR sensor for more robust drivability, especially when driving under poor illumination …

The invention and usage of CNN in computer vision (CV) have made object detection an
emerging task to locate and identify objects in an image or video is facing challenge with …

Object detection from images plays an important role in ITS applications, such as
autonomous-driving systems. A concern for recent object detection models based on neural …