Chaos and Order https://www.youngju.dev/blog 천천히 올바르게. AI Researcher & DevOps Engineer Youngju's blog. GPU/CUDA, LLM, MLOps, Kubernetes AI workloads, and data engineering — plus mindset essays on confidence, routines, health, and sport psychology. ko fjvbn2003@gmail.com (Youngju Kim) fjvbn2003@gmail.com (Youngju Kim) Tue, 30 Jun 2026 00:00:00 GMT https://www.youngju.dev/blog/ai-papers/2026-06-30-sota-autonomous-driving-perception.en SOTA Autonomous Driving Perception — BEV, Occupancy, End-to-End https://www.youngju.dev/blog/ai-papers/2026-06-30-sota-autonomous-driving-perception.en We survey recent trends in autonomous driving perception. From the perception-prediction-planning-control stack, BEV multi-camera fusion, occupancy networks 3D occupancy representation, vision-centric vs LiDAR fusion, to end-to-end learning and world models. Tue, 30 Jun 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) ai-papersautonomous-drivingbevoccupancy-networkend-to-endperception https://www.youngju.dev/blog/ai-papers/2026-06-30-sota-autonomous-driving-perception.ja SOTA自動運転認識分析 — BEV、Occupancy、エンドツーエンド https://www.youngju.dev/blog/ai-papers/2026-06-30-sota-autonomous-driving-perception.ja 自動運転認識の最新の流れを整理します。認識-予測-計画-制御のスタック、BEVマルチカメラ融合、occupancy networkの3D占有表現、ビジョン中心対LiDAR融合、エンドツーエンド学習とワールドモデルまでアーキテクチャの原理を見ていきます。 Tue, 30 Jun 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) ai-papersautonomous-drivingbevoccupancy-networkend-to-endperception https://www.youngju.dev/blog/ai-papers/2026-06-30-sota-autonomous-driving-perception SOTA 자율주행 인식 분석 — BEV, Occupancy, 엔드투엔드 https://www.youngju.dev/blog/ai-papers/2026-06-30-sota-autonomous-driving-perception 자율주행 인식의 최신 흐름을 정리합니다. 인식-예측-계획-제어 스택, BEV 멀티카메라 융합, occupancy network의 3D 점유 표현, 비전 중심 대 라이다 융합, 엔드투엔드 학습과 월드모델까지 아키텍처 원리를 살펴봅니다. Tue, 30 Jun 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) ai-papersautonomous-drivingbevoccupancy-networkend-to-endperception https://www.youngju.dev/blog/ai-papers/2026-06-30-sota-autonomous-driving-perception.zh SOTA 自动驾驶感知解析 — BEV、Occupancy、端到端 https://www.youngju.dev/blog/ai-papers/2026-06-30-sota-autonomous-driving-perception.zh 梳理自动驾驶感知的最新趋势。从感知-预测-规划-控制的技术栈、BEV 多摄像头融合、occupancy network 的 3D 占用表示、视觉中心与激光雷达融合之争，到端到端学习与世界模型，逐一审视其架构原理。 Tue, 30 Jun 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) ai-papersautonomous-drivingbevoccupancy-networkend-to-endperception