The increased integration of radar and vision sensors in modern vehicles has significantly improved environmental perception, safety, and automation. Nevertheless, conventional camera modules capture images in fixed, continuous frames, leading to unnecessary data processing, power consumption, and heat generation in the limited space of small sensors. The paper discusses the technology of Radar Based Dynamic Pixel Activation (RDPA); whereby radar data can be used to dynamically activate specific pixels on the camera sensor, optimizing image capture and processing. Through a systematic literature review of peer-reviewed articles published between 2021 and 2025, we examined the literature on radar-camera fusion, adaptive imaging, and sensor design that is efficient in power consumption. The review indicates a research gap that there is no current paradigm that dynamically activates sensor pixels at the hardware level using radar data. We aggregated ten topical studies and proposed a conceptual model where radar-determined Regions of Interest (ROIs) trigger localized pixel activation. The framework reduces the computational load, improves power efficiency and enhances thermal performance without affecting image fidelity. The paper also explains how RDPA may affect the Driver Monitoring Systems (DMS), Occupant Monitoring Systems (OMS), and Advanced Driver Assistance Systems (ADAS), and how it is more beneficial than traditional full frame imaging. Difficulties with synchronization, hardware interpenetration, and algorithmic synchronization are discussed. Altogether, RDPA is an excellent prospect to intelligent, energy-saving, and thermally stable vehicle perception systems of the next generation.