Most 3D object detection methods employ LiDAR sensors to create 3D point clouds of their environment. Simply put, LiDAR sensors use laser beams to rapidly scan and measure the distances of objects ...

Real-world vision systems rely on 3D object detection, which is critical in developing perception capabilities for AVs and mobile autonomous robots. But what’s the best approach ...

After the installation of the necessary libraries for the programming environment, the 3D object-detection data from the Kitti dataset is used. For Point-GNN, a pretrained model is employed, and ...

In 2019 alone, the US generated 66 million tons of food waste. The majority of that waste (60 percent) ended up in landfills.

LiDAR for 3D object detection is a key innovation area in artificial intelligence LiDAR is one of the vital sensors for perception tasks such as vehicle tracking, drivable region segmentation and ...

In addition, research in 3D scene understanding, such as 3D object detection (e.g. cars, pedestrians, etc), has considerably increased accuracy and inference speed.

A Smart IoT Enabled End-to-End 3D Object Detection System for Autonomous Vehicles. IEEE Transactions on Intelligent Transportation Systems, 2023; 24 (11): 13078 DOI: 10.1109/TITS.2022.3210490 ...

Apple's ARKit 2.0 boasts improved face tracking, 3D object detection ARKit takes aim at Apple's installed iPhone base and enables developers to create augmented reality apps.