Self-driving cars are trained to be overly cautious, but there may be situations where they need to make high-speed maneuvers to avoid a collision. Can these vehicles, festooned with tens of thousands of dollars worth of high-tech sensors and programmed to drive at grandma-speeds, handle these split-second decisions like a human?
Engineers at Stanford University may have the answer. They created a neural network that can enable driverless cars to perform high-speed, low-friction maneuvers just as well as race car drivers. When they eventually arrive, driverless cars will need capabilities beyond those of humans, as 94 percent of crashes are attributable to human error. Researchers say this is an important step in improving autonomous vehicles’ ability to avoid accidents.
8-6-2021 (August 6, 2021) is the Snakiest day of the year and it’s also this year’s CircuitPython Day! The day highlights all things CircuitPython and Python on Hardware. See you there!
Stop breadboarding and soldering – start making immediately! Adafruit’s Circuit Playground is jam-packed with LEDs, sensors, buttons, alligator clip pads and more. Build projects with Circuit Playground in a few minutes with the drag-and-drop MakeCode programming site, learn computer science using the CS Discoveries class on code.org, jump into CircuitPython to learn Python and hardware together, TinyGO, or even use the Arduino IDE. Circuit Playground Express is the newest and best Circuit Playground board, with support for CircuitPython, MakeCode, and Arduino. It has a powerful processor, 10 NeoPixels, mini speaker, InfraRed receive and transmit, two buttons, a switch, 14 alligator clip pads, and lots of sensors: capacitive touch, IR proximity, temperature, light, motion and sound. A whole wide world of electronics and coding is waiting for you, and it fits in the palm of your hand.