Tagged articles
4 articles
Page 1 of 1
Architects' Tech Alliance
Architects' Tech Alliance
Jul 29, 2021 · Artificial Intelligence

L4 Autonomous Driving Technology: Architecture, Costs, and Commercial Applications

The article provides a comprehensive overview of L4 autonomous driving technology, detailing its perception‑decision‑execution architecture, sensor and computing requirements, cost considerations, commercial use cases, V2X communication, high‑precision mapping, and the broader industry outlook driven by AI, big data and IoT.

AIL4Sensor Fusion
0 likes · 10 min read
L4 Autonomous Driving Technology: Architecture, Costs, and Commercial Applications
Amap Tech
Amap Tech
Sep 24, 2020 · Artificial Intelligence

How High‑Precision Maps Power Autonomous Driving: Inside Amap’s AI and Cloud Strategies

The article details Amap’s (Gaode) technical approach to building and deploying high‑precision maps for autonomous driving, covering accuracy requirements, data collection, point‑cloud alignment, AI‑driven perception and map‑update pipelines, and the challenges of scale, cost, and freshness.

AI Algorithmsautonomous drivingdata-processing
0 likes · 10 min read
How High‑Precision Maps Power Autonomous Driving: Inside Amap’s AI and Cloud Strategies
Alibaba Cloud Developer
Alibaba Cloud Developer
Jan 10, 2020 · Artificial Intelligence

How AI Powers Ground Marker Recognition for High‑Precision Maps

This article details the evolution of ground‑marker recognition technology in high‑precision maps, covering challenges of diverse and worn markings, traditional segmentation methods, deep‑learning breakthroughs such as R‑FCN, cascade detectors, corner‑point detection, semantic segmentation, PAnet, and 3‑D point‑cloud approaches, and their impact on accuracy and production efficiency.

Computer VisionDeep Learningground marker recognition
0 likes · 17 min read
How AI Powers Ground Marker Recognition for High‑Precision Maps
Amap Tech
Amap Tech
Jun 28, 2019 · Industry Insights

How Visual‑Inertial Fusion Powers High‑Precision Maps for Autonomous Driving

The article explains how visual‑inertial sensor fusion, combined with GNSS and LiDAR, enables large‑scale production of high‑precision maps, detailing hardware choices, processing pipelines, Gaode's implementation, current challenges, and future directions toward multi‑source data integration.

Sensor Fusionautonomous drivinghigh-precision maps
0 likes · 10 min read
How Visual‑Inertial Fusion Powers High‑Precision Maps for Autonomous Driving