REAL TIME DRIVING DIFFICULTY CATEGORIZATION

Patent №

US 9,686,451

Granted

2017-06-20

Filed 2015

Owner

TOYOTA JIDOSHA KABUSHIKI KAISHA

Lab

AI components

4

ml · nlp · vision · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14602214

The disclosure includes a system and method for determine a real time driving difficulty category. The method may include determining image feature vector data based on one or more features depicted in a real time image of a road scene. The image feature vector data may describe an image feature vector for an edited version of the real time image. The method may include determining offline road map data for the road scene, which includes a static label for a road included in the road scene and offline road information describing a regulatory speed limit for the road. The method may include selecting, based on the static label, a classifier for analyzing the image feature vector. The method may include executing the selected classifier to determine a real time driving difficulty category describing the difficulty for a user of the client device to drive in the road scene.

Machine learningNatural languageVisionPlanningG06V 20/38G06V 20/56H04N 23/90G06T 2207/10016

AI classification

Vision1.00
Machine learning0.97
Planning0.97
Natural language0.55
AI hardware0.36
Knowledge representation0.30
Speech0.00
Evolutionary computation0.00

Ownership

TOYOTA JIDOSHA KABUSHIKI KAISHA

assignment · 347800400

Assignors

PILLAI, PREETI JAYAGOPI, YALLA, VEERAGANESH, OGUCHI, KENTARO, NOMOTO, HIROKAZU

On an employer assignment, the assignors are typically the inventors.

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