Autonomous vehicles are kitted out with sensor packages altogether more complex. They typically rely on radar, lidar, ultrasonic sensors, or cameras all working in concert to detect the road ...

Autonomous vehicles rely on multiple types of sensors, each offering a different view of the world. Lidar maps distances using laser pulses. Cameras recognize colors, shapes, and road signs.

How RTK with advanced sensor fusion can guide the next generation of autonomous vehicles. To varying degrees, autonomous vehicles (AVs) have been in development—and even in use—for decades.

A groundbreaking research project at the University of Nebraska–Lincoln is set to transform autonomous vehicle technology by ...

The autonomous vehicle market, valued at USD 84.2 billion in 2025, is projected to grow at a CAGR of 27.8%, reaching USD 763.7 billion by 2034. Key drivers include enhanced road safety, reduced ...

Foresight Autonomous (FRSX) announced the launch of its advanced sensor kit portfolio: ScaleCam Vision, ScaleCam Thermal, and QuadSight in various configurations. These sensor kits are engineered ...

Foresight Autonomous Holdings (FRSX) has released an update.Foresight Autonomous Holdings has unveiled six advanced stereoscopic sensor kits designed to transform 3D perception in industries ...

A set of soon-to-be-available microservices from Nvidia, known as Omniverse Cloud Sensor RTX, will reportedly be able to provide physically accurate sensor simulation to accelerate the development of ...

Although sensor-strewn autonomous vehicles collect vast real-world road data every day, that’s insufficient to generate logic for all the potential scenarios a self-driving system may encounter.

The autonomous vehicle market, valued at USD 84.2 billion in 2025, is projected to grow at a CAGR of 27.8%, reaching USD 763.7 billion by 2034. Key d ...