Dataset Groups Activity Stream Argoverse: 3D tracking and forecasting with rich maps The Argoverse dataset includes 65 training and 24 validation sequences recorded in Miami and Pittsburgh. BibTex: @dataset{Ming-Fang_Chang_and_John_Lambert_and_Patsorn_Sangkloy_and_Jagjeet_Singh_and_Slawomir_Bak_and_Andrew_Hartnett_and_De_Wang_and_Peter_Carr_and_Simon_Lucey_and_Deva_Ramanan_2024, abstract = {The Argoverse dataset includes 65 training and 24 validation sequences recorded in Miami and Pittsburgh.}, author = {Ming-Fang Chang and John Lambert and Patsorn Sangkloy and Jagjeet Singh and Slawomir Bak and Andrew Hartnett and De Wang and Peter Carr and Simon Lucey and Deva Ramanan}, doi = {10.57702/jgka1p3b}, institution = {No Organization}, keyword = {'Autonomous Driving', 'Object Detection', 'Semantic Segmentation'}, month = {dec}, publisher = {TIB}, title = {Argoverse: 3D tracking and forecasting with rich maps}, url = {https://service.tib.eu/ldmservice/dataset/argoverse--3d-tracking-and-forecasting-with-rich-maps}, year = {2024} }
