Researcher Masayoshi Tomizuka

Researcher Biography

http://www.me.berkeley.edu/people/faculty/masayoshi-tomizuka

Current Projects

Multi-Modal Self-Supervised Pre-training for Label-Efficient 3D Perception

Data Efficiency for Point Cloud Perception Model

Past Projects

Automatic Inference of Lane Topology and Connecting Geometry for Scene Understanding, High-Definition Map Construction and Representation

Embracing Uncertainties in 3D Object Detection -- from Annotation and Benchmarking to Failure Analysis and Data Augmentation

Automatic Semantics Extraction and Representation for High-Definition Map Construction and Scene Understanding

Efficient Model for Large-Scale Point Cloud Perception

Data Augmentation via Synthetic Point Cloud for 3D Detection Refinement and Domain Adaptation with Different LiDAR Configurations

Localization and 3D Detection via Fusing Sparse Point Cloud and Information from Visual-Inertial Navigation System

Deep Learning-Based Vehicle Control Strategist for Autonomous Vehicles

Time-Series LIDAR and Camera Fusion with Structured Variational Inference

Interpretable and Data-Efficient Driving Behavior Generation via Deep Generative Probabilistic and Logic Models

Fast Inverse Vehicle Dynamics Adaptation for Driving Policy Transfer via Meta Learning

Generic Motion Generation and Comprehension with Social Interactions

3D Object Detection based on Lidar and Camera Fusion

Motion Prediction for Urban Autonomous Driving Based on Stochastic Policy Learned via Deep Neural Network