Autonomous driving paper index
The Digital Thread: Engineering Purpose, Limitation, and Consent in Disparate Cloud Ecosystems
One-line summary
As organizations transition to hyper-connected, multi-cloud architectures, the mobility of data has far outpaced the technical frameworks meant to govern it.
Engineering notes
Key topics: autonomous driving, tesla. 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
As organizations transition to hyper-connected, multi-cloud architectures, the mobility of data has far outpaced the technical frameworks meant to govern it. Regulatory mandates GDPR, CCPA, and CPRA articulate purpose limitation and informed consent as foundational principles, yet a persistent gap exists between what these laws require and what distributed systems actually enforce. In cloud-native environments, the metadata that records user consent and allowable use is routinely lost or overwritten as data crosses microservice boundaries, IoT pipelines, and third-party APIs. This article examines the architectural roots of that failure through three documented enforcement actions: the 2026 FTC settlement with General Motors over its Smart Driver telematics program, Tesla's internal camera-data misuse, and the Toyota-Progressive Insurance opt-out breakdown. Each case traces the same systemic flaw, consent does not travel with the data it authorizes. In response, this article proposes a Sticky Governance framework built on cryptographically signed consent tokens, service mesh enforcement, and dynamic resource provisioning, together with a revised audit methodology appropriate for information systems professionals operating in automated, high-velocity data environments. Analysis of three documented enforcement actions reveals a consistent pattern: purpose-scope metadata was absent from inter-organizational API payloads in all cases examined, enabling downstream data misuse that produced a 2026 FTC consent order, internal privacy violations affecting video footage from tens of thousands of enrolled vehicles, and insurance opt-out failures persisting across at least one underwriting cycle. The Sticky Governance Framework operationalizes cryptographic consent propagation and automated purpose-matching at the service-mesh enforcement layer, directly addressing the architectural gap through which governance context is stripped in transit. Policy recommendations include mandatory consent-token schema standards for cross-organizational API ecosystems, governance-metadata preservation clauses in cloud service contracts, and audit frameworks grounded in cryptographic evidence rather than document-review sampling.
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