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Baidu Maps Tech Team

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Recent Articles

Latest from Baidu Maps Tech Team

46 recent articles
Baidu Maps Tech Team
Baidu Maps Tech Team
Oct 23, 2025 · Artificial Intelligence

How LightGBM Boosts Urban GNSS Accuracy by Detecting NLOS Errors

This article presents a reliable NLOS error identification method for GNSS in urban environments, combining fisheye camera and inertial navigation for objective labeling, extracting six signal features, and employing an optimized LightGBM classifier that achieves high precision and real‑time performance, markedly improving positioning accuracy.

GNSSLightGBMNLOS detection
0 likes · 15 min read
How LightGBM Boosts Urban GNSS Accuracy by Detecting NLOS Errors
Baidu Maps Tech Team
Baidu Maps Tech Team
Jul 31, 2025 · Artificial Intelligence

How Baidu’s AI Voice Assistant Turns Speech into Precise Navigation Commands

This article explains how Baidu Map’s AI voice assistant converts spoken commands into precise navigation actions by detailing the speech‑to‑text pipeline, intent parsing, template and generative approaches, tool‑calling mechanisms, memory and reflection capabilities, and future directions for intelligent agents.

AIIntent ParsingLLM
0 likes · 14 min read
How Baidu’s AI Voice Assistant Turns Speech into Precise Navigation Commands
Baidu Maps Tech Team
Baidu Maps Tech Team
Jun 30, 2025 · Artificial Intelligence

How Baidu Maps Uses AI to Deliver Ultra‑Accurate ETA Predictions

This article explains how Baidu Maps' ETA system evolved from simple static calculations to AI-driven predictive models, detailing the four development stages, the underlying pre‑trained traffic large model, end‑to‑end route time prediction, and real‑world applications such as commuting, airport transfers, and holiday travel.

AIETANavigation
0 likes · 8 min read
How Baidu Maps Uses AI to Deliver Ultra‑Accurate ETA Predictions
Baidu Maps Tech Team
Baidu Maps Tech Team
Nov 3, 2021 · Artificial Intelligence

How AI Predicts Real-Time Parking Availability Without Sensors

This article explains how Baidu Maps leverages AI and spatio‑temporal big‑data to predict real‑time parking space availability for sensor‑less lots, detailing the overall approach, feature engineering, grid computation, real‑time feature calculation, and a multi‑branch deep learning model validated at KDD.

AIDeep LearningParking Prediction
0 likes · 13 min read
How AI Predicts Real-Time Parking Availability Without Sensors
Baidu Maps Tech Team
Baidu Maps Tech Team
May 29, 2020 · Frontend Development

How Baidu’s Web Map Engine Evolved Over a Decade: From Tiles to WebGL

Over the past ten years, Baidu’s map web engine has transformed from a server‑rendered tile system to a sophisticated WebGL‑based platform, introducing vector rendering, canvas drawing, line thinning, clipping, WebWorkers, WebAssembly, and advanced interaction features to boost performance, flexibility, and 3D capabilities.

Baidu MapsCanvasWebGL
0 likes · 10 min read
How Baidu’s Web Map Engine Evolved Over a Decade: From Tiles to WebGL
Baidu Maps Tech Team
Baidu Maps Tech Team
May 12, 2020 · Artificial Intelligence

How Trajectory Mining Revolutionizes Real-Time Map Updates

This article explores how large‑scale trajectory mining can overcome the timeliness limits of traditional street‑sweeping data collection, detailing the underlying principles, technical challenges such as vehicle‑type detection and map‑matching, and practical solutions ranging from rule‑based filters to advanced AI models.

AIHMMbig-data
0 likes · 16 min read
How Trajectory Mining Revolutionizes Real-Time Map Updates
Baidu Maps Tech Team
Baidu Maps Tech Team
Apr 22, 2020 · Frontend Development

Mastering WebGL Bloom: From Framebuffers to HDR Post‑Processing

This guide explains how to overcome large‑scale 3D map visualization challenges by using off‑screen rendering, framebuffers, and a step‑by‑step Bloom effect implementation—including bright‑area extraction, Gaussian blur, image merging, and HDR integration—in WebGL.

BloomFramebufferGraphics
0 likes · 8 min read
Mastering WebGL Bloom: From Framebuffers to HDR Post‑Processing
Baidu Maps Tech Team
Baidu Maps Tech Team
Apr 11, 2018 · Mobile Development

How Baidu Maps Solved Massive App Performance Bottlenecks with the Nirvana Framework

Baidu Maps confronts severe performance bottlenecks as its client app scales, analyzing main‑thread overload, third‑party SDK interference, and unstable network latency, and introduces the Nirvana framework to provide internal resource scheduling, monitoring, and isolation, achieving 10‑50% speed gains and noticeable user improvements.

AndroidApp OptimizationNirvana
0 likes · 11 min read
How Baidu Maps Solved Massive App Performance Bottlenecks with the Nirvana Framework