
Explores physical removal attacks on LiDAR-based autonomous vehicle systems, demonstrating how to deceive obstacle detectors and impact driving decisions through laser-based spoofing techniques.

Explore how edge computing transforms agriculture and mining through rugged, industrial-grade systems designed for extreme environments, real-time processing, and automated operations.

Explore efficient 3D perception techniques for autonomous vehicles, including multi-sensor fusion, accelerated view transformation, and optimized backbones for real-time performance on edge devices.

Explore Julia's potential in autonomous driving perception tasks, from LIDAR processing to ML algorithm development and integration in real vehicles.

Discover cutting-edge techniques for 3D data detection and segmentation using pseudo-labels, with insights into Lidar applications and Segment Anything technology from NVIDIA expert Laura Leal-Taixé.

Explore virtual outcrops in geology: photogrammetry, drones, and LiDAR for 3D modeling. Learn how these tools enhance fieldwork, mapping, and virtual field trips, revolutionizing geological research and education.

Explore investor perspectives on data, AI, and ML from top venture firms. Gain insights into investment trends, criteria for early-stage teams, and future opportunities in the data infrastructure landscape.

Explore autonomous racecar development: perception, localization, mapping, path planning, and vehicle control. Gain insights into creating self-driving vehicles using advanced technologies.

Explore security risks in autonomous driving controllers, including hardware structure, testing methods, and potential vulnerabilities. Learn to extract AI models and control vehicles remotely.

Explore cutting-edge techniques for efficient 3D perception in autonomous vehicles, including multi-sensor fusion, accelerated view transformation, and real-time performance on edge GPUs.