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DEEPMAP INC

Overview
  • Total Patents
    123
  • GoodIP Patent Rank
    11,597
  • Filing trend
    ⇩ 47.0%
About

DEEPMAP INC has a total of 123 patent applications. It decreased the IP activity by 47.0%. Its first patent ever was published in 2017. It filed its patents most often in United States, WIPO (World Intellectual Property Organization) and China. Its main competitors in its focus markets computer technology, measurement and control are BEIJING TRUNK TECH CO LTD, BEIJING MOMENTA TECH CO LTD and PASCO CORP.

Patent filings in countries

World map showing DEEPMAP INCs patent filings in countries

Patent filings per year

Chart showing DEEPMAP INCs patent filings per year from 1900 to 2020

Top inventors

# Name Total Patents
#1 Wheeler Mark Damon 53
#2 Yang Lin 42
#3 Chen Chen 23
#4 Schroeter Derik 22
#5 Wheeler Mark 20
#6 Zhang Ronghua 15
#7 Zeng Di 13
#8 Zhang Yu 9
#9 Colgate Gil 8
#10 Wu Mengxi 8

Latest patents

Publication Filing date Title
WO2021003453A1 Annotating high definition map data with semantic labels
US2021003683A1 Interactive sensor calibration for autonomous vehicles
US2021001877A1 Determination of lane connectivity at traffic intersections for high definition maps
US2021004017A1 Using high definition maps for generating synthetic sensor data for autonomous vehicles
US2021001891A1 Training data generation for dynamic objects using high definition map data
US2021003712A1 Lidar-to-camera transformation during sensor calibration for autonomous vehicles
US2021004021A1 Generating training data for deep learning models for building high definition maps
WO2021003455A1 Determining localization confidence of vehicles based on convergence ranges
US2021004363A1 Updating high definition maps based on age of maps
US2020408533A1 Deep learning-based detection of ground features using a high definition map
US2020408529A1 Calibration of inertial measurement units of vehicles using localization
US2020410702A1 Image-based keypoint generation
US2020408887A1 Calibration of multiple lidars mounted on a vehicle using localization based on a high definition map
US2020401817A1 Determining weights of points of a point cloud based on geometric features
US2020401845A1 Annotating high definition map points with measure of usefulness for localization
US2020401823A1 Lidar-based detection of traffic signs for navigation of autonomous vehicles
US2020393268A1 Storing normals in compressed octrees representing high definition maps for autonomous vehicles
US2020393567A1 Nearest neighbor search using compressed octrees representing high definition maps for autonomous vehicles
US2020393261A1 Updating high definition maps based on lane closure and lane opening
US2020393566A1 Segmenting ground points from non-ground points to assist with localization of autonomous vehicles