Tag: autonomous vehicles (AVs)
Scientists from the University of Freiburg have developed an image segmentation method for self-driving robots and vehicles to perceive the entire structure of objects even when they are partially hidden
Until now, Self-driving vehicles were using panoptic segmentation to understand...
Researchers at the Department of Computer Science at the University of Oxford, in collaboration with colleagues at Bogazici University, Turkey, introduced an artificial intelligence approach to achieve precise positioning of autonomous vehicles in bad weather conditions
Almalioglu and colleagues developed...
In-sensor image processors with multiple voltage-tunable photodiodes can filter images as they get captured.
Accidents happen in a blink of an eye. Considering the advancement from manual driving to autonomous driving, priorities for safety increases. Now, when it comes to...
MIT researchers unveils a simulation engine capable of constructing realistic environments for deployable training and testing of autonomous vehicles.
Hyper-realistic virtual worlds have been heralded as the best driving schools for autonomous vehicles (AVs) as they’ve proven to be productive...
The chip is algorithm and host processor agnostic and can be integrated into existing environments without redesigning the entire system
VSORA, a provider of high-performance silicon intellectual property (IP) solutions for artificial intelligence (AI), digital communications and advanced driver-assistance systems...
