TOYOTA RESEARCH INSTITUTE, INC. patent applications published on July 25th, 2024
Summary of the patent applications from TOYOTA RESEARCH INSTITUTE, INC. on July 25th, 2024
1. Summary: Toyota Research Institute, Inc. has recently filed patents for innovative technologies in the field of driving simulation, 3D object detection, and computer vision for autonomous vehicles. These patents aim to enhance driver safety, improve object detection accuracy, and optimize depth perception in autonomous vehicles. The driving simulator patent focuses on detecting driver distraction and simulating driving events accordingly. The 3D object detection patent introduces advanced algorithms for predicting 3D bounding boxes and dense depth, enhancing object detection accuracy. The computer vision patent presents a Geometric Scene Representation architecture for synthesizing depth views, improving depth perception in autonomous vehicles.
2. Key Points of Patents: - Driving Simulator: Detects driver distraction and simulates driving events to address distraction. - 3D Object Detection: Predicts 3D bounding boxes and dense depth for accurate object detection. - Computer Vision: Introduces Geometric Scene Representation architecture for enhanced depth perception.
3. Notable Applications: - Driving Simulator: Driver training programs, research on distracted driving behavior, development of advanced driver assistance systems. - 3D Object Detection: Autonomous vehicles, robotics, surveillance systems, augmented reality for enhanced object detection capabilities. - Computer Vision: Autonomous vehicles for improved object detection, robotics for enhanced spatial awareness, surveillance systems for better monitoring capabilities.
Contents
- 1 Patent applications for TOYOTA RESEARCH INSTITUTE, INC. on July 25th, 2024
- 1.1 SYSTEM AND METHOD FOR LEARNING RELATIONSHIPS BETWEEN PHYSIOLOGICAL SIGNALS AND PSYCHOLOGICAL STATE TO PREDICT INDIVIDUAL BEHAVIOR (18099187)
- 1.2 LEARNING LATENT-SPACE BARRIER FUNCTIONS FROM SAFE DEMONSTRATIONS (18481164)
- 1.3 SYSTEMS AND METHODS FOR ADJUSTMENT-BASED CAUSALLY ROBUST PREDICTION (18099579)
- 1.4 NEURAL IMPLICIT SCATTERING FUNCTIONS FOR INVERSE PARAMETER ESTIMATION AND DYNAMICS MODELING OF MULTI-OBJECT INTERACTIONS (18539157)
- 1.5 SYSTEMS AND METHODS FOR DEPTH SYNTHESIS WITH TRANSFORMER ARCHITECTURES (18156958)
- 1.6 SYSTEMS AND METHODS FOR TARGET ASSIGNMENT FOR END-TO-END THREE-DIMENSIONAL (3D) DETECTION (18159670)
- 1.7 ADVERSARIAL SIMULATION FOR DEVELOPING AND TESTING ASSISTIVE DRIVING TECHNOLOGY (18156591)
Patent applications for TOYOTA RESEARCH INSTITUTE, INC. on July 25th, 2024
SYSTEM AND METHOD FOR LEARNING RELATIONSHIPS BETWEEN PHYSIOLOGICAL SIGNALS AND PSYCHOLOGICAL STATE TO PREDICT INDIVIDUAL BEHAVIOR (18099187)
Main Inventor
Shabnam HAKIMI
LEARNING LATENT-SPACE BARRIER FUNCTIONS FROM SAFE DEMONSTRATIONS (18481164)
Main Inventor
Fernando CASTANEDA GARCIA-ROZAS
SYSTEMS AND METHODS FOR ADJUSTMENT-BASED CAUSALLY ROBUST PREDICTION (18099579)
Main Inventor
Guy ROSMAN
NEURAL IMPLICIT SCATTERING FUNCTIONS FOR INVERSE PARAMETER ESTIMATION AND DYNAMICS MODELING OF MULTI-OBJECT INTERACTIONS (18539157)
Main Inventor
Stephen TIAN
SYSTEMS AND METHODS FOR DEPTH SYNTHESIS WITH TRANSFORMER ARCHITECTURES (18156958)
Main Inventor
VITOR GUIZILINI
SYSTEMS AND METHODS FOR TARGET ASSIGNMENT FOR END-TO-END THREE-DIMENSIONAL (3D) DETECTION (18159670)
Main Inventor
DENNIS PARK
ADVERSARIAL SIMULATION FOR DEVELOPING AND TESTING ASSISTIVE DRIVING TECHNOLOGY (18156591)
Main Inventor
Simon Stent
