Tesla reported 1 new robotaxi crash to NHTSA in February, down from 5 in January. But without mileage data, there's no way to ...
“Can a single module turn any robot into a self-learning, privacy-aware, collaborative machine? OpenMind makes that proposition real with its BrainPack platform, which merges sensing, mapping, object ...
What is the optimal approach for 3D object detection? How and why the datasets and metrics generated by academia may not be the best tools for developing real-world applications such as 3DOD. 3D ...
Driving at night might be a scary challenge for a new driver, but with hours of practice it soon becomes second nature. For self-driving cars, however, practice may not be enough because the lidar ...
TuSimple’s patented method for autonomous vehicles involves classifying and prioritizing objects around the vehicle to optimize computational resources. The system uses sensor data and location ...
Tesla's February NHTSA filing carries what looks like good news: one new robotaxi crash, down from five the month before. A ...
Autonomous vehicles—or, in SAE parlance, cars with L4 driving automation, meaning that humans are not in control of the vehicle—are not yet fully specified. There is no universal agreement on the type ...
WEST LAFAYETTE, Ind. — A self-driving car has a hard time recognizing the difference between a toddler and a brown bag that suddenly appears into view because of limitations in how it senses objects ...
Beijing TuSimple Future Technology has patented a method for autonomous vehicles to classify and prioritize objects around them based on location and attributes. The system uses a classification ...
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