Robots and autonomous vehicles can use 3D point clouds from LiDAR sensors and camera images to perform 3D object detection. However, current techniques that combine both types of data struggle to ...

What is the optimal approach for 3D object detection? How and why the datasets and metrics generated by academia may not be the best tools for developing real-world applications such as 3DOD. 3D ...

There was a time when self-driving cars taking over the roads was a distant vision. Today, the situation has changed dramatically. Although autonomous vehicles (AVs) took longer than expected to make ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...

The automotive industry continues to be a hotbed of innovation, with activity driven by developments in artificial technology and machine learning, and growing importance of technologies such as ...

Cornell researchers can use two inexpensive cameras on either side of the windshield to detect objects with nearly LiDAR’s accuracy and at a fraction of the cost. Currently, the LiDAR implementation ...

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 point ...

The trick of AI at the edge is reducing complexity while maintaining accuracy. And that takes a lot of primary research. When we explored the eight “AI Firsts” from Qualcomm AI Research earlier this ...

The proposed model adopts innovative strategies that enable it to accurately combine 3D LiDAR data with 2D images, leading to a significantly better performance than state-of-the-art models for small ...