Surveillance without oversight? Public perception of automated license plate readers and governance challenges in public administration

Engineering notes

Key topics: autonomous driving, deployment, perception. See the paper for implementation details and experimental results.

Chinese explanation / 中文解读

中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。

Original abstract

This study examines public perceptions of Automated License Plate Reader (ALPR) systems, with particular attention to their governance, oversight, and administrative implications. Drawing on a national survey, the research analyzes public awareness, perceived benefits, and concerns related to data retention, transparency, and accountability in both public and private deployments of ALPR technologies. The findings reveal a growing tension between perceived security benefits and persistent concerns regarding privacy, data misuse, and limited public visibility into surveillance practices. Importantly, the results highlight structural governance challenges emerging from hybrid public-private surveillance systems, where responsibility for data collection, storage, and access is distributed across multiple actors with varying levels of accountability. These findings suggest that existing administrative and regulatory frameworks have not kept pace with the rapid expansion of surveillance technologies. The study contributes to public administration scholarship by identifying gaps in oversight, transparency, and institutional coordination, and by offering actionable governance recommendations aimed at strengthening administrative accountability, improving public trust, and aligning surveillance practices with democratic principles. Keywords: automated recognition systems, license plates, public administration, surveillance systems governance, data privacy, digital governance, public-private partnerships.

Links and sources

• PDF from original source

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