The　driver＇s　perception　level　and　takeover　performance　are　two　major　factors　that　result　in　accidents　in　autonomous　vehicles.　This　study＇s　goal　is　to　analyze　the　change　in　drivers＇　perception　level　and　its　influence　on　takeover　performance　during　autonomous　driving.　A　takeover　behavior　test　platform　is　implemented　based　on　a　high-fidelity　driving　simulator.　The　fog　zone　is　selected　as　the　takeover　scenario.　Thus,　a　2　(takeover　request　time:　5　s,　10　s)　by　2　(non-driving-related　task:　work　task,　entertainment　task)　takeover　experiment　was　conducted.　A　generalized　linear　mixed　model　is　developed　to　explore　the　influence　of　the　perception　level　on　takeover　performance.　The　study　finds　out　that,　after　the　takeover　request　is　triggered,　the　driver＇s　gaze　duration　is　shortened　and　the　pupil　area　is　enlarged,　which　is　helpful　for　the　driver　to　extract　and　understand　the　road　information　faster.　Male　drivers　have　greater　perception　levels　than　female　drivers,　and　they　prioritize　leisure　tasks　more　than　professional　ones.　The　drivers＇　perception　level　decreases　when　age　increases.　The　shorter　the　gaze　duration　is,　and　the　larger　the　pupil　area　is,　the　shorter　the　takeover　response　time　will　be.　In　addition,　drivers＇　perception　level　has　a　positive　effect　on　takeover　performance.　Finally,　this　study　provides　a　reference　for　revealing　the　changing　rules　of　drivers＇　perception　level　in　autonomous　driving,　and　the　study　can　provide　support　for　the　diagnosis　of　takeover　risks　of　autonomous　vehicles　from　the　perspective　of　human　factors.