Longform — Long-form writing on the AT Protocol

EVALUATION OF COMPONENTS OF AUTONOMOUS VEHICLES BASED ON DRIVING RECOMMENDATIONS

A system evaluates modifications to components of an autonomous vehicle (AV) stack. The system receives driving recommendations traffic scenarios based on user annotations of video frames showing each…

DRIVE·Jun 11·1 min read

B60W60/001 Perceptive Automata, Inc.

GENERATING TRAINING DATA FOR MACHINE LEARNING BASED MODELS FOR AUTONOMOUS VEHICLES

A system receives information describing paths traversed by vehicles of a vehicle type, for example, a bicycle or a motorcycle. The system determines locations along the paths. For each location the s…

DRIVE·Oct 26·1 min read

B60W60/0011 Perceptive Automata, Inc.

GROUND TRUTH BASED METRICS FOR EVALUATION OF MACHINE LEARNING BASED MODELS FOR PREDICTING ATTRIBUTES OF TRAFFIC ENTITIES FOR NAVIGATING AUTONOMOUS VEHICLES

A system uses a machine learning based model to determine attributes describing states of mind and behavior of traffic entities in video frames captured by an autonomous vehicle. The system classifies…

DRIVE·Nov 18·2 min read

G06K9/00791 Perceptive Automata, Inc.

SCENARIO IDENTIFICATION FOR VALIDATION AND TRAINING OF MACHINE LEARNING BASED MODELS FOR AUTONOMOUS VEHICLES

A system uses a machine learning based model to determine attributes describing states of mind and behavior of traffic entities in video frames captured by an autonomous vehicle. The system classifies…

DRIVE·Nov 18·2 min read

G05D1/0221 Perceptive Automata, Inc.

NAVIGATION OF AUTONOMOUS VEHICLES USING TURN AWARE MACHINE LEARNING BASED MODELS FOR PREDICTION OF BEHAVIOR OF A TRAFFIC ENTITY

An autonomous vehicle collects sensor data of an environment surrounding the autonomous vehicle including traffic entities such as pedestrians, bicyclists, or other vehicles. The sensor data is provid…

DRIVE·Nov 18·1 min read

B60W60/00274 Perceptive Automata, Inc.

SYSTEM AND METHOD OF PREDICTING HUMAN INTERACTION WITH VEHICLES

Systems and methods for predicting user interaction with vehicles. A computing device receives an image and a video segment of a road scene, the first at least one of an image and a video segment bein…

DRIVE·Jun 17·2 min read

G06K9/6254 Perceptive Automata, Inc.

SYSTEM AND METHOD OF PREDICTING HUMAN INTERACTION WITH VEHICLES

Systems and methods for predicting user interaction with vehicles. A computing device receives an image and a video segment of a road scene, the first at least one of an image and a video segment bein…

DRIVE·Jun 17·2 min read

G06K9/6254 Perceptive Automata, Inc.

NEURAL NETWORKS FOR NAVIGATION OF AUTONOMOUS VEHICLES BASED UPON PREDICTED HUMAN INTENTS

A system uses neural networks to determine intents of traffic entities (e.g., pedestrians, bicycles, vehicles) in an environment surrounding a vehicle (e.g., an autonomous vehicle) and generates comma…

DRIVE·Apr 22·1 min read

B60W60/0027 Perceptive Automata, Inc.

FILTERING USER RESPONSES FOR GENERATING TRAINING DATA FOR MACHINE LEARNING BASED MODELS FOR NAVIGATION OF AUTONOMOUS VEHICLES

An autonomous vehicle uses machine learning based models such as neural networks to predict hidden context attributes associated with traffic entities. The hidden context represents behavior of the tr…

DRIVE·Jan 28·1 min read

B60W60/0025 Perceptive Automata, Inc.

NEURAL NETWORK BASED PREDICTION OF HIDDEN CONTEXT OF TRAFFIC ENTITIES FOR AUTONOMOUS VEHICLES

An autonomous vehicle uses machine learning based models such as neural networks to predict hidden context attributes associated with traffic entities. The hidden context represents behavior of the tr…

DRIVE·Jan 28·1 min read

B60W60/0017 Perceptive Automata, Inc.

#Perceptive Automata, Inc.

EVALUATION OF COMPONENTS OF AUTONOMOUS VEHICLES BASED ON DRIVING RECOMMENDATIONS

GENERATING TRAINING DATA FOR MACHINE LEARNING BASED MODELS FOR AUTONOMOUS VEHICLES

GROUND TRUTH BASED METRICS FOR EVALUATION OF MACHINE LEARNING BASED MODELS FOR PREDICTING ATTRIBUTES OF TRAFFIC ENTITIES FOR NAVIGATING AUTONOMOUS VEHICLES

SCENARIO IDENTIFICATION FOR VALIDATION AND TRAINING OF MACHINE LEARNING BASED MODELS FOR AUTONOMOUS VEHICLES

NAVIGATION OF AUTONOMOUS VEHICLES USING TURN AWARE MACHINE LEARNING BASED MODELS FOR PREDICTION OF BEHAVIOR OF A TRAFFIC ENTITY

SYSTEM AND METHOD OF PREDICTING HUMAN INTERACTION WITH VEHICLES

SYSTEM AND METHOD OF PREDICTING HUMAN INTERACTION WITH VEHICLES

NEURAL NETWORKS FOR NAVIGATION OF AUTONOMOUS VEHICLES BASED UPON PREDICTED HUMAN INTENTS

FILTERING USER RESPONSES FOR GENERATING TRAINING DATA FOR MACHINE LEARNING BASED MODELS FOR NAVIGATION OF AUTONOMOUS VEHICLES

NEURAL NETWORK BASED PREDICTION OF HIDDEN CONTEXT OF TRAFFIC ENTITIES FOR AUTONOMOUS VEHICLES