A strong specific paper (2021–2024) with camera API details:
Automotive systems are event-driven. QCarCam uses a callback mechanism to inform the application of state changes. qcarcam api
Furthermore, the API addresses one of the most challenging problems in embedded camera integration: buffer management and zero-copy access. In high-throughput scenarios, copying image data from kernel space to user space can consume significant CPU cycles and double memory usage. The QCARCAM API often supports streaming modes where user-space applications directly access DMA (Direct Memory Access) buffers through memory-mapped I/O. This design pattern enables efficient frame processing at 30, 60, or even 120 frames per second, depending on the sensor and platform. For latency-sensitive applications like gesture recognition or robotic navigation, this efficiency is not a luxury—it is a requirement. A strong specific paper (2021–2024) with camera API