Oriented　object　detection　is　effective　in　reducing　irrelevant　backgrounds　and　distinguishing　densely　arranged　slanted　objects,　facilitating　high-level　intelligence　tasks　such　as　visual　positioning,　auxiliary　shooting　and　autonomous　navigation.　However,　it　is　rarely　investigated　in　the　field　of　aerial　power　inspection.　This　paper　surveys　crucial　issues　of　universal　oriented　object　detection　and　reviews　the　studies　of　oriented　object　detection　for　aerial　power　inspection.　With　the　aim　of　validating　the　potential　of　oriented　object　detection　for　power　inspection,　a　challenging　power　dataset　that　contains　two　representative　power　components　and　several　typical　disadvantages　is　constructed,　and　the　performance　of　several　representative　methods　are　examined　and　analyzed.　On　this　basis,　the　challenges　of　oriented　object　detection　for　aerial　power　inspection　are　summed　up,　and　the　potential　solutions　are　discussed.　©　2025　Copyright　held　by　the　owner/author(s).