Conventional　autonomous　landing　systems　for　unmanned　aerial　vehicles　(UAVs)　mainly　rely　on　global　positioning　systems　(GPS)　or　a　single　visual　sensor,　which　identifies　specific　markers　and　uses　them　to　guide　the　UAV　landing.　However,　such　methods　have　low　positioning　accuracies　and　weak　range　recognition　abilities,　which　limit　their　applicability.　This　report　proposes　a　fixed-point　landing　method　combining　light　detection　and　ranging　(LIDAR)　technology　with　a　vision　camera;　the　developed　approach　can　be　used　to　locate　the　landing　area　and　enable　a　completely　autonomous　landing,　without　being　affected　by　distance,　weather,　or　time.　First,　we　establish　the　mathematical　relationship　between　the　color　of　the　mark　and　the　reflection　intensity　of　the　laser　point　cloud.　According　to　this　relationship,　UAVs　can　confirm　their　position　relative　to　the　landing　point　starting　from　a　greater　distance　without　being　disturbed　by　the　environmental　light　intensity.　Meanwhile,　the　method　uses　the　camera　to　detect　the　corners　of　the　landing　target,　even　obtaining　the　relative　position　at　a　close　distance.　Finally,　the　LIDAR　and　camera　data　are　combined　to　detect　the　corner　points　of　the　markers,　determine　the　position　of　the　UAV　relative　to　the　center　of　the　landing　target　in　real　time,　and　guide　the　landing.　©　2024　World　Scientific　Publishing　Company.