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DataFunTalk
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.

LiDARObject Detectionautonomous driving
0 likes · 16 min read
Perception Technology for Autonomous Heavy Trucks: Methods, Challenges, and Production Considerations
Amap Tech
Amap Tech
Oct 23, 2019 · Artificial Intelligence

AR Navigation Lane Detection: Methods, Challenges, and Practical Solutions

The article reviews AR navigation lane‑detection, comparing traditional handcrafted visual pipelines with modern deep‑learning segmentation approaches, proposes an efficient multitask network with weight‑allocation and vanishing‑point anchoring, and demonstrates quantized models achieving real‑time, stable performance on low‑power automotive chips while outlining remaining weather, lighting, and road‑condition challenges.

ADASAR navigationComputer Vision
0 likes · 16 min read
AR Navigation Lane Detection: Methods, Challenges, and Practical Solutions