Self-driving cars often seem like something pulled straight from science fiction. The idea that a vehicle can steer, brake, and navigate traffic without human input still feels futuristic to many ...

SVNet's commercial success is driven by its ultra-lightweight, high-performance AI architecture, engineered to deliver ...

Comparison of depth perception results across different models for autonomous driving. Each column shows the same driving scene under challenging conditions. Competing methods (SCSNet and SE-CFF) ...

Autonomous vehicles have made remarkable progress over the past decade, accumulating millions of miles and performing well on highways, in controlled test areas, and in select urban zones. However, ...

The MarketWatch News Department was not involved in the creation of this content. SEOUL, South Korea, Nov. 11, 2025 /PRNewswire/ -- STRADVISION, a global leader in AI-based vision perception ...

A schematic illustration of the PriorFusion perception pipeline. The model unifies semantic segmentation–guided query refinement, data-driven geometric shape templates, and a truncated diffusion-based ...

Alphabet's Waymo has refocused competition from pure perception advances to real-world feasibility and business model viability with its sixth-generation autonomous driving hardware system, Gen6, ...

Wayve has launched GAIA-3, a generative foundation model for stress testing autonomous driving models. Aniruddha Kembhavi, Director of Science Strategy at Wayve, explains how this could advance ...

Explore how self driving cars and autonomous vehicles use self driving car sensors, lidar radar cameras, and autonomous driving technology to perceive roads, make decisions, and enhance safety.

Autonomous vehicles keep crashing into a problem that no software update can easily fix: the messy, unspoken social rules ...