STT: Stateful Tracking with Transformers for Autonomous Driving
Longlong Jing,Ruichi Yu,Xu Chen,Zhengli Zhao,Shiwei Sheng,Colin Graber,Qi Chen,Qinru Li,Shangxuan Wu,Han Deng,Sangjin Lee,Chris Sweeney,Qiurui He,Wei-Chih Hung,Tong He,Xingyi Zhou,Farshid Moussavi,James Guo,Yin Zhou,Mingxing Tan,Weilong Yang,Congcong Li,Longlong Jing,Ruichi Yu,Xu Chen,Zhengli Zhao,Shiwei Sheng,Colin Graber,Qi Chen,Qinru Li,Shangxuan Wu,Han Deng,Sangjin Lee,Chris Sweeney,Qiurui He,Wei-Chih Hung,Tong He,Xingyi Zhou,Farshid Moussavi,James Guo,Yin Zhou,Mingxing Tan,Weilong Yang,Congcong Li
Tracking objects in three-dimensional space is critical for autonomous driving. To ensure safety while driving, the tracker must be able to reliably track objects across frames and accurately estimate their states such as velocity and acceleration in the present. Existing works frequently focus on the association task while either neglecting the model’s performance on state estimation or deploying...
