380 citations · 1.9k across the 168 of their papers we have counts for
19 papers · 1 filter
Zero-shot Deep Reinforcement Learning Driving Policy Transfer for Autonomous Vehicles based on Robust Control
Zhuo Xu, Chen Tang, Masayoshi Tomizuka
Although deep reinforcement learning (deep RL) methods have lots of strengths that are favorable if applied to autonomous driving, real deep RL applications in autonomous driving h…
RoarNet: A Robust 3D Object Detection based on RegiOn Approximation Refinement
Kiwoo Shin, Youngwook Paul Kwon, Masayoshi Tomizuka
We present RoarNet, a new approach for 3D object detection from a 2D image and 3D Lidar point clouds. Based on two-stage object detection framework with PointNet as our backbone ne…
A Framework for Probabilistic Generic Traffic Scene Prediction
Yeping Hu, Wei Zhan, Masayoshi Tomizuka
In a given scenario, simultaneously and accurately predicting every possible interaction of traffic participants is an important capability for autonomous vehicles. The majority of…
Efficient Trajectory Optimization for Robot Motion Planning
Yu Zhao, Hsien-Chung Lin, Masayoshi Tomizuka
Motion planning for multi-jointed robots is challenging. Due to the inherent complexity of the problem, most existing works decompose motion planning as easier subproblems. However…
Learn the Manipulation of Deformable Objects Using Tangent Space Point Set Registration
Rui Wang, Te Tang, Masayoshi Tomizuka
Point set registration is a powerful method that enables robots to manipulate deformable objects. By mapping the point cloud of the current object to the pre-trained point cloud, a…
Human Motion Prediction using Semi-adaptable Neural Networks
Yujiao Cheng, Weiye Zhao, Changliu Liu +1
Human motion prediction is an important component to facilitate human robot interaction. Robots need to accurately predict human's future movement in order to safely plan its own m…