Radar: rastreio multi-alvo (tracker alfa-beta) — 1ª integração dos repos #71–#86#90
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…dos repos #71-#86 Extrai o conceito do passiveRadar (multitarget_kalman_tracker.py) como módulo JS puro: src/utils/radar-tracker.js. As detecções do CFAR viram alvos persistentes com ID, velocidade suavizada (filtro alfa-beta), rastro e estado coasting. Sem inchar a main com os ~500MB dos vendors — só o conceito vira código. - radar.js: pipeline CFAR -> tracker.update() -> overlay de trilhas + lista com IDs - radar.css: estilo de alvo em coasting - docs/MEGA-PLANO.md: marca o tracker como 1º conceito integrado https://claude.ai/code/session_01CSpVWhtyNRKvTvDq8Y5Pmm
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O que entra
Primeiro conceito extraído dos 16 repos de radar (#71–#86), sem inchar a
main: um rastreador multi-alvo.src/utils/radar-tracker.js(novo) — espelha omultitarget_kalman_tracker.pydo passiveRadar em JS puro: associação por vizinho-mais-próximo + filtro alfa-beta (Kalman leve) + ciclo de vida (tentativa → confirmado → coasting → removido).radar.js— pipeline agora éCFAR → tracker.update() → overlay. As detecções soltas viram alvos persistentes com ID (T01, T02…), com rastro na tela e velocidade suavizada. Vale para todas as fontes (mock / acústico / replay / bridge).radar.css— estilo para alvo em coasting (sem medida no frame).docs/MEGA-PLANO.md— marca o tracker como o 1º conceito integrado e o modelo para os demais (conceito → módulo pequeno).Como testar
npm run dev→/radar→ modo MOCK ou ACÚSTICO: os alvos agora têm ID fixo e deixam rastro; somem suavemente (coasting) ao perder sinal.Build
npm run build✅ (168 módulos).https://claude.ai/code/session_01CSpVWhtyNRKvTvDq8Y5Pmm
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