基于视觉特征融合的无人驾驶感知与建图算法设计开题报告

 2023-10-09 04:10

1. 研究目的与意义

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2. 研究内容和预期目标

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style=text-indent:0cm; 锛?锛夊姣擵SLAM鐨勭洿鎺ユ硶鍜岀壒寰佹硶鐨勪紭缂虹偣锛屽姣斿悇绫讳紶鎰熷櫒鐨勪紭缂虹偣/pp style=text-indent:0cm; 锛?锛夊疄鐜板熀浜庤瑙夌壒寰佽瀺鍚堢殑娣峰悎VSLAM瑙嗚閲岀▼璁? /pp style=text-indent:0cm; 锛?锛夊疄鐜板熀浜庤閿ヤ綋澶氫紶鎰熷櫒鐗瑰緛绾ц瀺鍚堢殑3D鐩爣妫€娴? /pp style=text-indent:0cm; 锛?锛夊疄鐜板熀浜庢贩鍚堣瑙夐噷绋嬭鍜岀洰鏍囨娴嬬殑鍏ㄥ眬璇箟鍦板浘鏋勫缓鍜岀淮鎶? /p锛?锛夐€氳繃瀹為獙楠岃瘉鎻愬嚭鏂规硶鐨勪紭瓒婃€у拰鍙潬鎬?/textarea>

3. 研究的方法与步骤

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4. 参考文献

p [1]nbsp; DAVISON A J, REID I D, MOLTON N D, et al. MonoSLAM: Real-timesingle camera SLAM [J]. IEEE transactions on pattern analysis and machineintelligence, 2007, 29(6): 1052-67./pp [2]nbsp; SALAS-MORENO R F, NEWCOMBE R A, STRASDAT H, et al. Slam :Simultaneous localisation and mapping at the level of objects [C]. 2013 IEEEConference on Computer Vision and Pattern Recognition, 2013: 1352-9./pp [3]nbsp; MUR-ARTAL R, MONTIEL J M M, TARDOS J D. ORB-SLAM: a versatile andaccurate monocular SLAM system [J]. IEEE transactions on robotics, 2015, 31(5):1147-63./pp [4]nbsp; MUR-ARTAL R, TARDS J D. Orb-slam2: An open-source slam system formonocular, stereo, and rgb-d cameras [J]. IEEE transactions on robotics, 2017,33(5): 1255-62./pp [5]nbsp; CAMPOS C, ELVIRA R, RODRGUEZ J J G, et al. Orb-slam3: An accurateopen-source library for visual, visual鈥搃nertial, and multimap slam [J]. IEEETransactions on Robotics, 2021, 37(6): 1874-90./pp [6]nbsp; LIM H, KIM Y, JUNG K, et al. Avoiding degeneracy for monocularvisual SLAM with point and line features [C]. 2021 IEEE InternationalConference on Robotics and Automation (ICRA), 2021: 11675-81./pp [7]nbsp; BRUNO H M S, COLOMBINI E L. LIFT-SLAM: A deep-learningfeature-based monocular visual SLAM method [J]. Neurocomputing, 2021, 455:97-110./pp [8]nbsp; NAVEED K, ANJUM M L, HUSSAIN W, et al. Deep introspective SLAM:Deep reinforcement learning based approach to avoid tracking failure in visualSLAM [J]. Autonomous Robots, 2022, 46(6): 705-24./pp [9]nbsp; STEENBEEK A, NEX F. CNN-based dense monocular visual SLAM forreal-time UAV exploration in emergency conditions [J]. Drones, 2022, 6(3): 79./pp [10] BONETTO E, GOLDSCHMID P, PABST M, et al. irotate: Active visual slamfor omnidirectional robots [J]. Robotics and Autonomous Systems, 2022, 154:104102./pp [11] QI C R, LIU W, WU C, et al. Frustum pointnets for 3d objectdetection from rgb-d data [C]. 2018 IEEE/CVF Conference on Computer Vision andPattern Recognition, 2018: 918-27./pp [12] NABATI R, QI H. Centerfusion: Center-based radar and camera fusionfor 3d object detection [C]. 2021 IEEE Winter Conference on Applications ofComputer Vision (WACV), 2021: 1527-36./pp [13] VORA S, LANG A H, HELOU B, et al. Pointpainting: Sequential fusionfor 3d object detection [C]. 2020 IEEE/CVF Conference on Computer Vision andPattern Recognition (CVPR), 2020: 4604-12./pp [14] XIE L, XIANG C, YU Z, et al. PI-RCNN: An efficient multi-sensor 3Dobject detector with point-based attentive cont-conv fusion module [C]. TheAAAI conference on artificial intelligence, 2020: 12460-7./pp [15] PIERGIOVANNI A, CASSER V, RYOO M S, et al. 4d-net for learnedmulti-modal alignment [C]. 2021 IEEE/CVF International Conference on ComputerVision (ICCV), 2021: 15435-45./pp [16] CHEN X, MA H, WAN J, et al. Multi-view 3D Object Detection Networkfor Autonomous Driving [C]. 2017 IEEE Conference on Computer Vision and PatternRecognition (CVPR), 2017: 6526-34./pp [17] ZHOU X, KOLTUN V, KR?HENBHL P. Tracking objects as points [C].Computer Vision鈥揈CCV 2020: 16th European Conference, 2020: 474-90./pp [18] YOU Y, LOU Y, LIU Q, et al. Pointwise rotation-invariant networkwith adaptive sampling and 3d spherical voxel convolution [C]. The AAAIConference on Artificial Intelligence, 2020: 12717-24./p[19] ESTEVES C, ALLEN-BLANCHETTE C, MAKADIA A, etal. Learning so (3) equivariant representations with spherical cnns [C]. TheEuropean Conference on Computer Vision (ECCV), 2018: 52-68.

5. 计划与进度安排

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锛屾挵鍐欐瘯涓氳鏂囷紝鍑嗗璁烘枃绛旇京銆?/textarea>

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