MP-L.A.1
PASNet: A self-adaptive point cloud sorting approach to an improved feature extraction
Nuo Cheng, TU ilmenau/LiangDao Gmbh, Germany; Xiaohan Li, Han Li, Xiaotong Liu, Chuanyu Luo, Shengguang Lei, LiangDao Gmbh, Germany; Pu Li, TU ilmenau, Germany
Session:
Autonomous Vehicle Vision (AVVision)
Track:
Special Sessions
Location:
Room A
Presentation Time:
Mon, 17 Oct, 22:30 - 22:45 China Standard Time (UTC +8)
Mon, 17 Oct, 16:30 - 16:45 Central European Time (UTC +1)
Mon, 17 Oct, 14:30 - 14:45 UTC
Mon, 17 Oct, 10:30 - 10:45 Eastern Time (UTC -5)
Mon, 17 Oct, 16:30 - 16:45 Central European Time (UTC +1)
Mon, 17 Oct, 14:30 - 14:45 UTC
Mon, 17 Oct, 10:30 - 10:45 Eastern Time (UTC -5)
Session Chair:
Xiaohan Li, LiangDao GmbH
Presentation
Discussion
Resources
No resources available.
Session MP-L.A
MP-L.A.1: PASNet: A self-adaptive point cloud sorting approach to an improved feature extraction
Nuo Cheng, TU ilmenau/LiangDao Gmbh, Germany; Xiaohan Li, Han Li, Xiaotong Liu, Chuanyu Luo, Shengguang Lei, LiangDao Gmbh, Germany; Pu Li, TU ilmenau, Germany
MP-L.A.2: FAST SEMANTIC IMAGE SEGMENTATION FOR AUTONOMOUS SYSTEMS
Christos Papaioannidis, Ioannis Mademlis, Ioannis Pitas, Aristotle University of Thessaloniki, Greece
MP-L.A.3: TEMPORAL AXIAL ATTENTION FOR LIDAR-BASED 3D OBJECT DETECTION IN AUTONOMOUS DRIVING
Manuel Carranza-García, José C. Riquelme, University of Sevilla, Spain; Avideh Zakhor, University of California, Berkeley, United States of America
MP-L.A.4: CAMERA SELF-CALIBRATION: DEEP LEARNING FROM DRIVING SCENES
Arya Rachman, Jürgen Seiler, André Kaup, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
MP-L.A.5: DEEP VISUAL PLACE RECOGNITION FOR WATERBORNE DOMAINS
Luke Thomas, Michael Edwards, Alma Rahat, Matt Roach, Swansea University, United Kingdom of Great Britain and Northern Ireland; Austin Capsey, UK Hydrographic Office, United Kingdom of Great Britain and Northern Ireland