In this work, we propose MVFuseNet, a novel end-to-end method for
joint ...
In many different fields interactions between objects play a critical ro...
Detection of surrounding objects and their motion prediction are critica...
Object detection is a critical component of a self-driving system, taske...
A commonly-used representation for motion prediction of actors is a sequ...
In this paper, we present LiRaNet, a novel end-to-end trajectory predict...
We present an end-to-end method for object detection and trajectory
pred...
One of the critical pieces of the self-driving puzzle is understanding t...
Autonomous vehicles rely on robust real-time detection and future motion...
In this work, we present LaserFlow, an efficient method for 3D object
de...
Accurate motion state estimation of Vulnerable Road Users (VRUs), is a
c...
We present a review of 3D point cloud processing and learning for autono...
In this paper, we present an extension to LaserNet, an efficient and
sta...
In this paper, we present LaserNet, a computationally efficient method f...