The　wide-area　imaging　becomes　difficult　due　to　the　small　overlapping　area　of　multi-camera　images,large　parallax,and　complex　and　changeable　feature　information　in　practical　application　scenarios　when　a　multi-camera　detection　system　is　used　to　provide　environmental　perception　for　military　vehicles　such　as　tanks　and　armored　vehicles.　A　wide-area　real-time　imaging　algorithm　based　on　ChArUco　board　calibration　is　proposed,and　a　wide-area　visual　enhancement　system　for　military　vehicles　is　designed　for　drivers　to　perform　real-time　imaging　of　the　external　environment　in　a　closed　compartment　with　limited　vision.　This　algorithm　takes　advantage　of　the　characteristic　that　the　ChArUco　board　can　still　be　accurately　calibrated　under　occlusion　conditions　to　achieve　the　accurate　calibration　of　a　small-overlapping　multi-camera　system.　Projection　transformation　is　carried　out　through　calibration　parameters　to　avoid　the　interference　of　image　feature　information　and　effectively　deal　with　complex　feature　scenarios.　At　the　same　time,the　parallax　in　the　overlapping　area　is　eliminated　by　the　fusion　of　optical　flow　relationships,and　a　wide-area　real-time　imaging　is　achieved　by　using　the　projection　look-up　table　and　parallel　acceleration　optimization　method.　This　algorithm　is　deployed　on　a　mobile　computing　platform　to　form　a　complete　wide-area　visual　enhancement　system.　The　experimental　results　show　that　this　system　and　algorithm　can　meet　the　wide-area　real-time　imaging　requirements　of　various　scenarios　and　improve　the　visual　perception　ability　of　military　vehicles　in　complex　environments.　©　2025　China　Ordnance　Industry　Corporation.　All　rights　reserved.