It's a design-forward autonomous vehicle that isn't half-bad looking.
Velodyne announces the VLS-128 lidar system, with enough range and resolution to outperform a human.
The scientists proposed a new software approach called "VoxelNet" for helping computers detect three-dimensional objects.
No more lidar domes or other bristling bits.
Simply being safe isn't enough. Passengers need to know they're safe.
Waymo says it discovered the device after one of Uber's engineers was forced to admit its existence.
It can see a black panel 200 meters away.
Look for the car at CES and NAIAS in January.
The LiDAR units installed on the first generation of Google's self-driving cars cost around $75,000.
If someone could look for a Gary Burghoff easter egg, we'd appreciate it.
The automaker plans to have a fully-autonomous vehicle ready for ride-sharing fleets on the road in the next five years.
For MIT students, it will be like taking Uber to class.
Tesla might have a way to improve its Autopilot tech without grafting on new equipment.
Some of the biggest challenges in preparing self-driving cars for the road have little to do with the vehicles themselves. Worn lane markings, shoddy roads and uneven signage standards make it harder for autonomous cars to figure out where they're headed on many American roads. Poor weather and sunlight at low-angles can also make it hard for cars to discern the path ahead.
Does size matter? It could when it comes to self-driving vehicles and a small new hockey-puck shaped device that, when affixed to a vehicle, shoots out lasers to collect data-mapping points. That data is then used to guide an autonomous vehicle down the road. The size – both of the device itself and the potential price tag – is what's interesting here.