The ApolloScape Open Dataset for Autonomous Driving and Its Application

• Published in: IEEE transactions on pattern analysis and machine intelligence Vol. 42; no. 10; pp. 2702 - 2719
• Main Authors: Huang, Xinyu, Wang, Peng, Cheng, Xinjing, Zhou, Dingfu, Geng, Qichuan, Yang, Ruigang
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.10.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 3D understanding; Algorithms; Autonomous cars; Autonomous driving; Computer vision; Datasets; Image segmentation; Labeling; Labelling; large-scale datasets; Machine learning; Motion sensors; Multisensor fusion; Robustness; scene/lane parsing; self localization; Semantic segmentation; Semantics; Sensors; Task analysis; Three dimensional models; Three-dimensional displays; Two dimensional displays; Videos

Autonomous driving has attracted tremendous attention especially in the past few years. The key techniques for a self-driving car include solving tasks like 3D map construction, self-localization, parsing the driving road and understanding objects, which enable vehicles to reason and act. However, l...