It is important to clarify: we do not use VLMs to drive the robot. Using a heavy cloud model to steer in real time would ...

The Insurance Institute for Highway Safety gives lots of cars good ratings these days, but a dozen SUVs stand among the creme ...

Abstract: Lane marking detection is a fundamental but crucial step in intelligent driving systems. It can not only provide relevant road condition information to prevent lane departure but also assist ...

At present, surface defect equipment based on machine vision has widely replaced artificial visual inspection in various industrial fields, including 3C, automobiles, home appliances, machinery ...

Every Thursday, the Paste staff and contributors will choose their five favorite songs of the week, awarding one entry a “Song of the Week” designation. Check out last week’s roundup here. Song of the ...

LONDON – On a more than typically busy Thursday morning in Soho, the gray December sky spat rain. Traffic was stop-and-go, but mainly stop. Even the sidewalks were congested. Finally, alongside the ...

Abstract: Lane detection algorithm (LDA) is a crucial and necessary component for autonomous vehicles to ensure safe driving in various environments. Deep learning-based lane detection algorithms ...

This dataset contains images for Drivable Area segmentation and Lane detection. All the images are generated using Stable diffusion in Google Colaboratory. This dataset is around 90 Megabytes. The ...

As an important function of the advanced driver assistance system (ADAS), the reversing assistant (RA) achieves trajectory retracing by applying accurate position estimation and tracking control. To ...

Electroencephalography (EEG)-based driving fatigue detection has gained increasing attention recently due to the non-invasive, low-cost, and potable nature of the EEG technology, but it is still ...