We present RoarNet, a new approach for 3D object detection from 2D image and 3D Lidar
point clouds. Based on two stage object detection framework ([1],[2]) with PointNet [3] as our …

To enable intelligent automated driving systems, a promising strategy is to understand how
human drives and interacts with road users in complicated driving situations. In this paper …

We consider the problem of Bird's Eye View (BEV) segmentation with perspective monocular
camera view as input. An effective solution to this problem is important in many autonomous …

According to one aspect, scene classification may vided. An image capture device may
capture a series of image frames of an environment from a moving vehicle. A temporal …

Abstract Systems and techniques for scene classification and prediction is provided herein.
A first series of image frames of an environment from a moving vehicle may be captured …

In dynamic scenarios, dynamic participants break the static assumptions of the visual
odometry (VO) algorithm. Hence, dynamic participants are typically removed and only static …

A system and method for utilizing a temporal recurrent network for online action detection
that include receiving image data that is based on at least one image captured by a vehicle …

Driver behavior recognition or driver behavior prediction are described herein. A first image
sequence including image frames associated with a forward-facing image capture device of …

Driver behavior recognition may be provided using a processor and a memory. The memory
may receive an image sequence and a corresponding vehicle data signal sequence. The …

Abstract Systems and methods for driver behavior recognition is provided. In one
embodiment a computer implemented method includes receiving image data associated …