Addressing these issues is crucial for further advancements in multimodal object detection. Moreover, the data structure and feature representation of point cloud and image data, as two distinct ...

Now, it detects pedestrians, weaving traffic, cyclists, and objects in the road ... In addition, it enables integrated HW acceleration for post-detection processing – e.g., point cloud generation and ...

including high resolution point cloud, object detection and disparity map, for the possible enhancement of the OEM’s current automotive vision solution. Upon successful completion of the POC ...

LiDAR point cloud processing involves the conversion of raw point cloud data, obtained from a LiDAR sensor, into meaningful and actionable information. This process typically involves segmentation ...

“Autonomous Vehicles (AVs) increasingly use LiDAR-based object ... of AV object detection models to induce obstacle misdetection, our research discovers how to leverage laser-based spoofing techniques ...

Operating locally for rapid object detection and locating, or through the hyper scalability of the AWS Cloud, SpotlightAI™ can process massive amounts of sub-centimeter-level drone imagery ...