5 Of The Most Realistic Manual Driving Simulators

From rally stages to city streets, these realisitic manual driving simulators deliver immersive physics, accurate handling, ...
Nature

Autonomous driving using imitation learning with look ahead point for semi structured environments

Autonomous driving technology for semi-structured environments such as parking lots and alleyways is important for fully autonomous driving. Moreover, it is more difficult than driving in structured ...
Nature

Continuous improvement of self-driving cars using dynamic confidence-aware reinforcement learning

Today’s self-driving vehicles have achieved impressive driving capabilities, but still suffer from uncertain performance in long-tail cases. Training a reinforcement-learning-based self-driving ...
InfoQ

Wayve's End-to-End Deep Learning Model for Self-Driving Cars

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Forbes

Unsupervised Learning Enables Scalability For Autonomous Vehicles

Traditional approaches to autonomous vehicles (AVs) rely on using millions of miles of driving data in conjunction with even more miles of simulated data as inputs to supervised machine learning ...
SlashGear

How Long Does It Realistically Take To Learn To Drive A Manual Car?

There was a time when manual transmissions were the dominant choice among drivers, with automatic versions lagging behind in terms of efficiency. But things have changed. Today, there are just over ...
Berkshire Eagle

Driver's education has shifted back to in-person instruction. Here's how local driving schools are responding

PITTSFIELD — The Massachusetts Registry of Motor Vehicles believes that returning driver's education classroom instruction to in-person only classes will build better drivers. Jeff Coco, director of ...