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DataFunTalk
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.

Computer VisionSensor Fusionautonomous driving
0 likes · 12 min read
Perception System Overview: Sensors, Fusion, Onboard Architecture, and Technical Challenges in Autonomous Driving
Hulu Beijing
Hulu Beijing
Apr 25, 2019 · Artificial Intelligence

How to Build End-to-End Deep Learning Models for Self-Driving Cars

This article reviews the evolution of autonomous‑driving research, explains how to design end‑to‑end deep‑neural‑network models such as PilotNet, and outlines a reinforcement‑learning based decision system, highlighting key architectures, performance metrics, and future challenges.

Deep LearningEnd-to-EndPilotNet
0 likes · 9 min read
How to Build End-to-End Deep Learning Models for Self-Driving Cars
DataFunTalk
DataFunTalk
Apr 4, 2019 · Artificial Intelligence

Exploring Trajectory Planning: Concepts, Decision‑Making, and Challenges in Autonomous Driving

This article presents a comprehensive overview of autonomous‑vehicle trajectory planning, covering its fundamental concepts, optimization formulation, decision‑making strategies, lateral and longitudinal planning methods, and the practical challenges faced in real‑world deployments.

autonomous drivingdecision makingoptimization
0 likes · 17 min read
Exploring Trajectory Planning: Concepts, Decision‑Making, and Challenges in Autonomous Driving
DataFunTalk
DataFunTalk
Feb 13, 2019 · Artificial Intelligence

Reinforcement Learning: Principles, Applications, and the PARL Framework

This comprehensive article explains reinforcement learning fundamentals, compares it with supervised learning, surveys Baidu's industrial RL applications such as recommendation, dialogue, prosthetics, and autonomous driving, introduces the open‑source PARL platform, and discusses current challenges and future research directions.

AIDialogue SystemsPARL
0 likes · 18 min read
Reinforcement Learning: Principles, Applications, and the PARL Framework
Alibaba Cloud Developer
Alibaba Cloud Developer
Jan 4, 2019 · Artificial Intelligence

What Are Alibaba DAMO Academy’s 2019 Tech Trends Shaping the Future?

Alibaba DAMO Academy outlines ten 2019 technology trends—from smart city real‑time simulation and voice AI passing Turing tests to AI‑specific chips, massive graph neural networks, re‑architected computing, 5G‑driven applications, digital identity, autonomous driving, blockchain rationalization, and emerging data‑security technologies.

5GAIBlockchain
0 likes · 9 min read
What Are Alibaba DAMO Academy’s 2019 Tech Trends Shaping the Future?
Hulu Beijing
Hulu Beijing
Sep 14, 2018 · Artificial Intelligence

Why Autonomous Driving Could Save Millions of Lives and Transform Transportation

This article explores how autonomous driving, driven by artificial intelligence, can dramatically improve safety, convenience, efficiency, and reduce congestion, outlines the five SAE levels, describes the three-layer control architecture, and explains key AI tools such as occupancy grids and cones of uncertainty that enable precise trajectory planning.

AI Algorithmsautonomous drivingoccupancy grid
0 likes · 10 min read
Why Autonomous Driving Could Save Millions of Lives and Transform Transportation
Meituan Technology Team
Meituan Technology Team
Sep 6, 2018 · Industry Insights

Inside the 2018 AI Challenger: Datasets, Tracks, and Real‑World Impact

The 2018 AI Challenger, co‑hosted by Meituan, Innovation Works, Sogou and Meitu, launched with over 3 million RMB in prizes, featured two flagship tracks—fine‑grained restaurant review sentiment analysis and autonomous‑driving visual perception—offering massive new datasets, multi‑task learning challenges, and concrete applications that illustrate how AI can reshape everyday services.

AI competitionDatasetMeituan
0 likes · 12 min read
Inside the 2018 AI Challenger: Datasets, Tracks, and Real‑World Impact
Architects' Tech Alliance
Architects' Tech Alliance
Aug 4, 2018 · Cloud Computing

Public Cloud Market Landscape and Future Trends

This article examines the rapid growth of cloud computing in China and globally, analyzing public cloud market share, major providers, investment trends, sector-specific forecasts, and the impact of emerging technologies such as AI, IoT, big data, and 5G on future cloud services.

5GIaaSSaaS
0 likes · 16 min read
Public Cloud Market Landscape and Future Trends
21CTO
21CTO
Jun 1, 2018 · Fundamentals

Why Quantum Computing Won’t Replace Classical CPUs—and What It Can Actually Solve

In an interview, Intel senior VP Mike Mayberry explains that quantum computers are not a universal replacement for classical CPUs, outlines the next decade of commercialization, highlights material simulation and cryptography as key applications, and discusses challenges, AI data efficiency, and safety in autonomous driving.

AIIntelQuantum Computing
0 likes · 10 min read
Why Quantum Computing Won’t Replace Classical CPUs—and What It Can Actually Solve
Alibaba Cloud Developer
Alibaba Cloud Developer
Feb 8, 2018 · Artificial Intelligence

Top 2018 Tech Predictions: AI, Quantum Computing, IoT, and Blockchain

In early 2018, twelve Alibaba scientists forecast how frontier technologies such as AI, quantum computing, IoT, edge computing, blockchain, autonomous driving, computer vision and speech interaction will impact society, industry, and daily life, highlighting key challenges, opportunities, and expected breakthroughs across these fields.

IoTQuantum Computingautonomous driving
0 likes · 12 min read
Top 2018 Tech Predictions: AI, Quantum Computing, IoT, and Blockchain
Architecture Digest
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.

AIComputer VisionSensor Fusion
0 likes · 19 min read
Comprehensive Overview of Autonomous Driving Technologies, Companies, and Industry Trends
21CTO
21CTO
Jun 24, 2017 · Artificial Intelligence

Where Did Baidu’s AI Stars Go? Inside the Exodus of China’s Top AI Talent

The article traces the departure of over twenty senior AI experts from Baidu, detailing their backgrounds, the roles they held, and the startups or companies they joined, illustrating how their moves have shaped China’s AI landscape across autonomous driving, computer vision, speech, and other emerging technologies.

AIBaiduStartups
0 likes · 41 min read
Where Did Baidu’s AI Stars Go? Inside the Exodus of China’s Top AI Talent