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 ...

Machines are moving beyond single-point sensing. Multi-sensor fusion now delivers vision, ranging and inertial data. The ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

A new system represents the first time that the capabilities of conventional beam-scanning lidar systems have been combined with those of a newer 3D approach known as flash lidar. The nonmechanical 3D ...

With high-resolution 3D point clouds and Doppler data, this vision sensor aims to close critical visibility gaps in autonomous driving.

“We present an end-to-end method for object detection and trajectory prediction utilizing multi-view representations of LiDAR returns. Our method builds on a state-of-the-art Bird’s-Eye View (BEV) ...

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...

It is not uncommon these days to hear about companies, who, after working for years to develop innovative, life-changing ideas, have repurposed them temporarily (and maybe permanently) as a result of ...

WASHINGTON — Our roads might one day be safer thanks to a completely new type of system that overcomes some of lidar’s limitations. Lidar, which uses pulsed lasers to map objects and scenes, helps ...