AG

Adrien David Gaidon

TO Toyota: 29 patents #4 of 3,632Top 1%
MIT: 1 patents #155 of 955Top 20%
Stanford University: 1 patents #103 of 533Top 20%
University of California: 1 patents #215 of 1,560Top 15%
📍 San Jose, CA: #27 of 6,779 inventorsTop 1%
🗺 California: #236 of 67,048 inventorsTop 1%
Overall (2024): #1,194 of 561,600Top 1%
29
Patents 2024

Issued Patents 2024

Showing 1–25 of 29 patents

Patent #TitleCo-InventorsDate
12183087 Semantically aware keypoint matching Jiexiong Tang, Rares A. Ambrus, Vitor Guizilini 2024-12-31
12175775 Producing a bird's eye view image from a two dimensional image Vitor Guizilini, Rares A. Ambrus, Sudeep Pillai 2024-12-24
12175708 Systems and methods for self-supervised learning of camera intrinsic parameters from a sequence of images Vitor Guizilini, Rares A. Ambrus, Igor Vasiljevic, Jiading Fang, Gregory Shakhnarovich +1 more 2024-12-24
12151361 Robust and perceptive manipulation through soft-bubble grippers and monocular depth Rares A. Ambrus, Vitor Guizilini, Naveen Suresh Kuppuswamy, Andrew Beaulieu, Alexander Alspach 2024-11-26
12141235 Systems and methods for dataset and model management for multi-modal auto-labeling and active learning Allan RAVENTOS, Arjun Bhargava, Kun-Hsin Chen, Sudeep Pillai 2024-11-12
12136251 Guided domain randomization via differentiable dataset rendering Sergey Zakharov, Rares A. Ambrus, Vitor Guizilini 2024-11-05
12103564 Planning-aware prediction for control-aware autonomous driving modules Rowan Thomas MCALLISTER, Blake Warren Wulfe, Jean-Pierre Mercat, Logan Michael Ellis, Sergey Levine 2024-10-01
12086695 System and method for training a multi-task model Dennis Park 2024-09-10
12080013 Multi-view depth estimation leveraging offline structure-from-motion Jiexiong Tang, Rares A. Ambrus, Sudeep Pillai, Vitor Guizilini 2024-09-03
12073580 Self-supervised 3D keypoint learning for monocular visual odometry Jiexiong Tang, Rares A. Ambrus, Vitor Guizilini, Sudeep Pillai, Hanme Kim 2024-08-27
12067785 Evaluation process for a multi-task network Rares A. Ambrus, Dennis Park, Vitor Guizilini, Jie Li 2024-08-20
12061480 Causing a mobile robot to move according to a planned trajectory determined from a prediction of agent states of agents in an environment of the mobile robot Boris Ivanovic, Amine Elhafsi, Guy Rosman, Marco Pavone 2024-08-13
12045998 Systems and methods for neural implicit scene representation with dense, uncertainty-aware monocular depth constraints Rares A. Ambrus, Sergey Zakharov, Vitor Guizilini 2024-07-23
12039438 Systems and methods for trajectory forecasting according to semantic category uncertainty Boris Ivanovic, Kuan-Hui Lee, Jie Li, Pavel Tokmakov 2024-07-16
12033341 Scale-aware depth estimation using multi-camera projection loss Vitor Guizilini, Rares A. Ambrus, Igor Vasiljevic, Gregory Shakhnarovich 2024-07-09
12020489 Network architecture for monocular depth estimation and object detection Dennis Park, Rares A. Ambrus, Vitor Guizilini, Jie Li 2024-06-25
12008818 Systems and methods to train a prediction system for depth perception Rares A. Ambrus, Dennis Park, Vitor Guizilini, Jie Li 2024-06-11
11994408 Incremental map building using learnable features and descriptors Jiexiong Tang, Rares A. Ambrus, Hanme Kim, Vitor Guizilini, Xipeng Wang +2 more 2024-05-28
11966234 System and method for monocular depth estimation from semantic information Vitor Guizilini, Jie Li, Rares A. Ambrus, Sudeep Pillai 2024-04-23
11967141 Neural architecture search for fusing multiple networks into one Jie Li 2024-04-23
11948309 Systems and methods for jointly training a machine-learning-based monocular optical flow, depth, and scene flow estimator Vitor Guizilini, Rares A. Ambrus, Kuan-Hui Lee 2024-04-02
11948310 Systems and methods for jointly training a machine-learning-based monocular optical flow, depth, and scene flow estimator Vitor Guizilini, Rares A. Ambrus, Kuan-Hui Lee 2024-04-02
11915487 System and method for self-supervised depth and ego-motion overfitting Rares A. Ambrus, Vitor Guizilini, Sudeep Pillai 2024-02-27
11900626 Self-supervised 3D keypoint learning for ego-motion estimation Jiexiong Tang, Rares A. Ambrus, Vitor Guizilini, Sudeep Pillai, Hanme Kim 2024-02-13
11891094 Using a neural network to produce a digital map for a location Vitor Guizilini, Rares A. Ambrus, Sudeep Pillai 2024-02-06