CANape Kernel for Scalable Data Acquisition

Vector has recently unveiled CANape Kernel, a compact measurement core tailored to enable CANape-based data acquisition on x64- and ARM64 platforms running Windows or Linux. Positioned as a standalone logging engine, this software is designed to function independently of the full CANape desktop environment, making it ideal for automated or embedded measurement setups.

For professionals in automotive electronics, ADAS development, or software-defined vehicle (SDV) validation, this announcement signifies a shift towards more distributed, platform-agnostic data acquisition architectures that can be deployed closer to the test environment, enhancing efficiency and flexibility in data collection processes.

Evolution from CANape tool to embedded measurement core

Derived from Vector’s established CANape measurement and calibration tool, CANape Kernel has been restructured as a lean console application. Engineers can prepare measurement configurations within CANape and then seamlessly transfer them to the target system, where the kernel takes charge of device initialisation and continuous data acquisition. This separation allows for the reuse of existing workflows while deploying logging functions on industrial PCs or single-board computers.

Vector emphasizes that the software is compatible with both Windows and Linux environments, running smoothly on x64 and ARM64 architectures. This hardware versatility is particularly beneficial for projects that integrate traditional automotive test benches with edge computing platforms or in-vehicle data loggers.

Comprehensive protocol and sensor coverage for complex systems

The CANape Kernel measurement core is designed to support a wide array of automotive communication and sensor interfaces. It covers protocols such as CAN, CAN FD, LIN, FlexRay, Ethernet, and XCP, with integration options available for ADAS-related sensors like radar, lidar, and video streams. This broad compatibility caters to the increasing complexity of vehicle networks and the necessity to synchronize data across various domains during validation and testing processes.

Vector highlights that the kernel boasts low resource requirements and rapid start-up times, making it suitable for automated test sequences or scenarios where logging is triggered dynamically rather than running continuously.

Seamless integration through REST API and mobile interface

Control and integration of the CANape Kernel are primarily facilitated through a REST API, enabling seamless embedding into existing automation frameworks or test orchestration systems. Additionally, Vector offers the CANape Mobile UI, a browser-based interface that allows for control, visualization, triggering, and annotation, including basic video preview functions, enhancing user experience and accessibility.