2 citations · 4 across the 4 of their papers we have counts for
4 papers
CASPNet++: Joint Multi-Agent Motion Prediction
Maximilian Schäfer, Kun Zhao, Anton Kummert
The prediction of road users' future motion is a critical task in supporting advanced driver-assistance systems (ADAS). It plays an even more crucial role for autonomous driving (A…
Context-Aware Scene Prediction Network (CASPNet)
Maximilian Schäfer, Kun Zhao, Markus Bühren +1
Predicting the future motion of surrounding road users is a crucial and challenging task for autonomous driving (AD) and various advanced driver-assistance systems (ADAS). Planning…
Maneuver-based Trajectory Prediction for Self-driving Cars Using Spatio-temporal Convolutional Networks
Benedikt Mersch, Thomas Höllen, Kun Zhao +2
The ability to predict the future movements of other vehicles is a subconscious and effortless skill for humans and key to safe autonomous driving. Therefore, trajectory prediction…
Cascaded Residual Density Network for Crowd Counting
Kun Zhao, Luchuan Song, Bin Liu +2
Crowd counting is a challenging task due to the issues such as scale variation and perspective variation in real crowd scenes. In this paper, we propose a novel Cascaded Residual D…