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 ...

Figure 3 This image shows the detected bounding boxes. Source: Embitel. Testing and evaluation of different algorithms. After the installation of the necessary libraries for the programming ...

Ritsumeikan University researchers introduce DPPFA−Net, a groundbreaking 3D object detection network melding LiDAR and image data to improve accuracy for robots and self-driving cars. Addressing ...

Associated developments in optics, semiconductors, 3D image processing, artificial intelligence, robotics, computing, cloud and wireless technologies are accelerating applications not possible before.

This capability is achieved through image processing and object recognition, which empower robots to perform tasks such as navigation, obstacle avoidance, and even interaction with humans. Debian, ...

For developers and perception engineers, Prism ISP seamlessly interfaces with Teledyne FLIR’s prominent thermal cores, such as Boson, Tau 2, Hadron, and Neutrino, enhancing image processing ...