Official Amap technology account showcasing all of Amap's technical innovations.
The crash in asl::LooperObserverMan::notifyIdle was traced to a compiler‑level store‑store reordering that exposed an uninitialized observer pointer, causing an illegal memory access, and was fixed by inserting a memory barrier or using proper atomic ordering to enforce correct initialization order.
The article broadens software architecture beyond structural design to encompass people, processes, and business value, urging architects to balance realistic, flexible goals, limited resources, commercial‑focused behaviors, and industry trends so they can deliver cost‑effective, scalable solutions that align technology with organizational objectives.
Amap’s lane‑level navigation simulation combines a road‑scene strategy engine—using modified ant‑colony optimization to efficiently cover national and city road networks—with a vehicle‑behavior engine that plans lane‑change paths via Dijkstra and models realistic speed profiles through reaction and curvature intervals, enabling custom high‑precision testing while cutting road‑test costs.
The paper presents a high‑performance Android code‑coverage solution that uses standard reflection to read the ClassLoader’s ClassTable, achieving over five‑times faster collection than existing tools while remaining stable, compatible, multi‑process capable, and enabling incremental, cloud‑based reporting for reducing app size.
The Gaode Business Framework (GBF) is a lightweight, domain‑driven solution that unifies disparate industry portals by partitioning stable domains, standardizing interfaces, and providing customizable implementations, thereby eliminating duplicated glue code, improving design quality, reducing development costs, and enhancing stability and cross‑team collaboration.
Gaode migrated its core navigation, traffic, and financial services to OceanBase, leveraging Paxos‑based multi‑replica consistency, LSM‑Tree storage, and distributed transactions, selecting multi‑point write for massive sync workloads and central‑write for latency‑critical queries, achieving sub‑millisecond latency, significant storage savings, and a roadmap toward broader cost‑effective, serverless deployment.
The article walks through building an automatic cruise navigation effect on AMap with Three.js by acquiring route data, merging GeoJSON paths, loading a 3D vehicle model, animating its movement and camera follow using TWEEN, and blending the NPC layer with satellite and 3DTiles layers for a smooth autonomous navigation experience.
This article explains the architecture, data layers, prediction modules, and deep‑learning framework behind Gaode’s driving ETA service, detailing how static speed profiles, linear models, and the H‑STGCN model combine to forecast travel times and evaluate their accuracy.
ARHUD integrates augmented‑reality graphics into a vehicle’s head‑up display, projecting speed limits, lane cues and navigation data at a virtual distance beyond 10 m and a wide field of view, while requiring precise eye‑point tracking, coordinate conversion, and advanced optics such as TFT‑LCD, DLP or LCOS to overcome challenges of brightness, size, alignment and limited FOV for safe, low‑cognitive‑load driving.
The Golang Unit Testing Plugin 3.0 unifies scripts, uses containerized resources, supports all Go versions, provides precise AST‑based incremental coverage, and generates detailed HTML reports, enabling developers to select the plugin in Aone Lab and automatically compile, test, collect coverage, and upload results, dramatically reducing integration effort and improving CI efficiency across dozens of applications.
