Robust Vision and Autonomous Perception: A Structured Review of Sensor Fusion, Scene Understanding, Generative Enhancement, and Efficient Evaluation
Keywords:
computer vision, autonomous driving, sensor fusion, scene understanding, generative imaging, robustness evaluationAbstract
This structured review maps 143 assigned references on computer vision, autonomous perception, multimodal sensor fusion, image enhancement, video understanding, and generative visual systems. The literature is analyzed as a chain from acquisition and annotation to representation, fusion, prediction, and deployment. Particular attention is given to environmental corruption, missing sensors, domain shift, rare scenarios, efficiency, and evaluation design. The resulting framework argues that robustness-efficiency trade-offs should be reported alongside average task performance. The synthesis is based on bibliographic records and title-level coding, so it provides coverage and research questions rather than unreported quantitative conclusions.
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