Oriented FAST and Rotated BRIEF (ORB) Feature Detection Speeds Up Visual SLAM
In the realm of smart edge devices, signal processing and AI inferencing are intertwined. Sensing can require intense computation to filter out the most significant data for inferencing. Algorithms for simultaneous localization and mapping (SLAM), a type of navigation, entail complex image processing at the sensing stage to detect features. Executing in real time, these algorithms must quickly perform feature detection. Introduced in 2011, Oriented Fast and Rotated Brief is one of the faster feature-detection algorithms. Nonetheless, cost and power constraints mean the underlying hardware must also be efficient, and software must be optimized and, for the sake of developer productivity, easy to use.
SLAM assesses where a moving agent is, while also mapping the environment. Self-driving cars employ the technique and so can other devices, such as autonomous mobile robots (AMR), which are warehouse vehicles that move materials. The AMR is a successor to the autonomous guided vehicle (AGV), an older technology that followed a fixed path outlined, for example, by a painted stripe. Like a self-driving car, an AMR can employ cameras and other sensors that feed a SLAM system.
To read the full article, click here
Related Semiconductor IP
- nQrux Secure Boot
- 4K/8K Multiformat IP supporting AV2 decoder
- Ultra Ethernet MAC & PCS 100G/200G/400G/800G
- Ethernet PCS 100G/200G/400G/800G/1.6T
- Ethernet MAC 100G/200G/400G/800G/1.6T
Related Blogs
- ARM furthers its "cover the earth" strategy with introduction of R5 and R7 core variants for fast, real-time, deterministic SoC applications
- A Brief History of the Fabless Semiconductor Industry
- A Brief History of TSMC
- A Brief History of Semiconductor IP
Latest Blogs
- A Repeatable Framework for Hardware Security Assurance
- Inside the SiFive Performance™ P570 Gen 3: High Performance Efficiency for Next-Generation Consumer and Commercial Applications
- What the steam engine can teach us about modern chip design
- Automotive silicon in the era of AI, functional safety, and cybersecurity
- JPEG XS Officially Joins GenICam, The Machine Vision Standard Managed By EMVA