perception | BestHub

DataFunTalk

Nov 2, 2024 · Artificial Intelligence

Embodied Intelligence: Core Concepts, Three Elements, and Four Functional Modules

This article introduces embodied intelligence, explains its basic definition, three essential elements (body, intelligence, environment), and details the four functional modules—perception, decision, action, and feedback—while describing the sensors and algorithms that enable physical AI systems to interact with the real world.

AI roboticsaction moduledecision making

0 likes · 13 min read

Embodied Intelligence: Core Concepts, Three Elements, and Four Functional Modules

Tencent Tech

Mar 21, 2024 · Artificial Intelligence

How Dual-Arm Humanoid Robots Collaborate Seamlessly: Tencent’s New Framework

Tencent’s Robotics X lab unveils a versatile dual‑arm humanoid framework that integrates vision‑based optimal grasping, safety‑ensured collaborative planning, and skill‑transfer interfaces, enabling tasks such as synchronized screw turning, pouring, interference suppression, and large‑object handovers, as detailed in a recent IEEE Transactions on Robotics paper.

AIcollaborative controldual-arm manipulation

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How Dual-Arm Humanoid Robots Collaborate Seamlessly: Tencent’s New Framework

Baidu Tech Salon

Dec 25, 2023 · Artificial Intelligence

Apollo Open Platform 9.0: New Features and Public Course Schedule

Baidu unveiled Apollo Open Platform 9.0 on December 19, delivering Package Management 2.0, new perception models with 4D millimeter‑wave radar support, incremental training, and a revamped Dreamview+ UI, and will host two live‑stream courses on December 27‑28 to explain the PnC and perception upgrades, with gifts for registrants.

AIApolloPlatform Upgrade

0 likes · 3 min read

Apollo Open Platform 9.0: New Features and Public Course Schedule

Amap Tech

Dec 4, 2023 · Artificial Intelligence

End-to-End BEV+Transformer Perception and Modeling for High-Definition Map Production

By fusing LiDAR point clouds and camera images into a unified bird‑eye‑view space and applying Transformer‑based perception, multi‑sensor fusion, and graph‑diffusion modeling, the proposed BEV+Transformer framework automatically detects and smooths ground‑level line features and signs for high‑definition maps with centimeter‑level accuracy, boosting production efficiency and reducing cost.

BEVHD mapautonomous driving

0 likes · 20 min read

End-to-End BEV+Transformer Perception and Modeling for High-Definition Map Production

Model Perspective

Jul 6, 2023 · Fundamentals

Understanding Information Processing Theory: How the Mind Works Like a Computer

The information processing theory, emerging in the 1950s‑60s, likens human cognition to computer operations, detailing how perception, attention, memory, conceptual knowledge, reasoning, and feedback mechanisms transform sensory input into mental representations and guide behavior, influencing cognitive psychology, education, and HCI.

AttentionCognitive Psychologyhuman cognition

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Understanding Information Processing Theory: How the Mind Works Like a Computer

Didi Tech

Jan 27, 2021 · Artificial Intelligence

Addressing Uncertainty in Autonomous Driving: Data‑Driven Control Module Strategies

The article proposes a three‑layer, data‑driven framework—problem analysis using massive fleet data, iterative deep‑learning algorithm development with fallback and explainable‑AI safeguards, and systematic validation via simulation and real‑world tests—to mitigate perception, prediction, and control uncertainties and advance trustworthy autonomous‑driving control systems.

autonomous drivingcontroldata-driven

0 likes · 12 min read

Addressing Uncertainty in Autonomous Driving: Data‑Driven Control Module Strategies

Didi Tech

Dec 29, 2020 · Artificial Intelligence

Evolution and Challenges of Perception in L4 Autonomous Driving

The article traces L4 autonomous-driving perception from early rule-based point-cloud methods through data-driven deep-learning models to emerging self-learning, multi-task systems, and highlights four key hurdles—model generalization and explainability, robust multi-sensor fusion, real-time compute limits, and proper uncertainty handling—calling for integrated AI, engineering, and data solutions.

AIDeep Learningautonomous driving

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Evolution and Challenges of Perception in L4 Autonomous Driving

DataFunTalk

Feb 20, 2020 · Artificial Intelligence

Perception Technology for Autonomous Heavy Trucks: Methods, Challenges, and Production Considerations

This article reviews perception technologies used in autonomous heavy‑truck systems—including lane‑line detection, obstacle detection, and LiDAR sensing—detailing traditional and deep‑learning approaches, practical challenges on high‑speed highways, and the cost, performance, and reliability issues faced when moving these solutions to mass production.

Deep LearningLiDARautonomous driving

0 likes · 16 min read

Perception Technology for Autonomous Heavy Trucks: Methods, Challenges, and Production Considerations

DataFunTalk

Jun 26, 2019 · Artificial Intelligence

Pony.ai Perception System: Combining Traditional and Deep Learning Methods for 2D and 3D Object Detection

This article outlines Pony.ai's perception pipeline, comparing traditional and deep‑learning approaches for 2D and 3D object detection, detailing sensor fusion, detection methods, challenges such as occlusion and distance estimation, and how hybrid techniques improve accuracy for autonomous driving.

3D detectionDeep Learningautonomous driving

0 likes · 11 min read

Pony.ai Perception System: Combining Traditional and Deep Learning Methods for 2D and 3D Object Detection

DataFunTalk

May 8, 2019 · Artificial Intelligence

Perception System Overview: Sensors, Fusion, Onboard Architecture, and Technical Challenges in Autonomous Driving

This article presents a comprehensive overview of autonomous driving perception, covering system fundamentals, sensor setups and fusion techniques, onboard processing architecture, and the key technical challenges such as precision‑recall balance, adverse weather, and small‑object detection.

Deep LearningLiDARautonomous driving

0 likes · 12 min read

Perception System Overview: Sensors, Fusion, Onboard Architecture, and Technical Challenges in Autonomous Driving

Architecture Digest

Aug 1, 2017 · Artificial Intelligence

Comprehensive Overview of Autonomous Driving Technologies, Companies, and Industry Trends

This article provides a detailed overview of autonomous driving, covering its evolution from electric and shared vehicles, major industry players, technical definitions, SAE level classifications, core modules such as perception, localization, decision and control, key datasets like KITTI, and emerging business opportunities in the sector.

AIIndustry Trendsautonomous driving

0 likes · 19 min read

Comprehensive Overview of Autonomous Driving Technologies, Companies, and Industry Trends