The method can be applied to autonomous vehicles, autonomous parking, autonomous delivery, and future autonomous robots as well as in applications where object and obstacle detection, tracking ...

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 ...

The autonomy revolution is progressing. Helm.ai's unsupervised learning and generative AI approach offers scalability, deployment speed and resource efficiency.

Three-dimensional object detection is crucial for autonomous vehicles. It utilizes point cloud data generated by LiDAR to help autonomous vehicles identify surrounding objects. This technology is ...

An Israeli artificial intelligence startup gets $12.5 million in funding for a deep learning processor they plan to apply to autonomous vehicles.

New algorithm helps autonomous vehicles find themselves, summer or winter Deep learning makes visual terrain-relative navigation more practical Date: June 23, 2021 Source: California Institute of ...

Apple researchers are pushing forward with efforts to bring autonomous vehicle systems to public roads, and last week published an academic paper outlining a method of detecting objects in 3D ...

3D object detection (3DOD) is central to real-world vision systems and a critical component in the development of perception capabilities for autonomous vehicles (AVs) and mobile autonomous robots.