USA: CEVA has announced the availability of its CEVA-SLAM software development kit, aimed at streamlining the development of Simultaneous Localization and Mapping (SLAM) enabled products, including mobile devices, AR/VR headsets, robots, autonomous vehicles and other camera-based devices.
Available for the CEVA-XM family of intelligent vision DSPs and the NeuPro family of AI processors, CEVA-SLAM incorporates the hardware, software and interfaces required to significantly lower the entry barrier for companies looking to integrate efficient SLAM implementations into low-power embedded systems.
Ilan Yona, vice president and general manager of the Vision Business Unit at CEVA, commented: “SLAM is the underlying technology that enables high-accuracy 3D mapping of a device’s surroundings. It is a key component for a broad range of emerging devices including AR/VR headsets, drones, robots and other autonomous machines.
We have capitalized on our unique expertise in designing vision DSPs and software algorithms to streamline our customers’ entry into the exciting, yet complex domain of 3D machine vision.”
The CEVA-SLAM SDK accelerates SLAM based application development by incorporating the hardware, software and interfaces required to enable an efficient SLAM implementation into any embedded system. The SDK includes a detailed interface from a CPU to offload the heavy lifting SLAM blocks to the CEVA-XM DSP.
These building blocks utilize the DSP efficiency to support both fixed point and floating point math and extend the device’s battery life. The SDK building blocks include capabilities for image processing (including Feature Detection, Feature Descriptors, Feature Matching), Linear Algebra (including Matrix Manipulation, Linear Equation Solving), Fast Sparse Equation solving for Bundle Adjustment and more.
Illustrating the low power capabilities of the CEVA-SLAM SDK, running a full SLAM tracking module on the CEVA-XM6 DSP at 60 frames per second consumes only 86mW*. When deployed with a CEVA-XM DSPs or a NeuPro AI processor, customers can address a broad range of use cases and applications requiring SLAM, such as visual positioning, along with classical and Neural Network workloads for imaging and vision, all in a unified hardware platform that is easy to program.