This will be the decade of autonomous driving. Maybe not everywhere or for every occasion, but with electric vehicle adoption rising and self-driving algorithms on track to outperform human-driver safety, the world is ready for autonomous vehicles to go mainstream.
Accelerating Technology Innovation for Autonomous Driving
ADLINK envisions a world where people, places, and things are positively enabled with AI-driven capabilities. With autonomous driving, a host of software, sensors, communications, and reliable computing hardware meld with cutting-edge car design. The end results will be safer, more enjoyable travel and leaps in productivity. ADLINK is helping build this near future through extensive collaboration with leading industry partners and alliances, applying 25 years of experience in the embedded and rugged computing with expertise in open-source robotics, middleware and AI-centric, in-vehicle computing platforms. When the most qualified, accomplished groups come together to realize a shared vision, the roads open with unlimited possibility.
Powering the Indy Autonomous Challenge – the World’s First Head-to-Head Self-Driving Race
Imagine the famed Indianapolis Speedway as a pack of Dallara AV-21 racecars scream down the track for 20 laps at straightaway speeds up to 200 mph (320 kph)… but nobody is driving. On October 23, 2021, the Indy Autonomous Challenge (IAC) will award USD 1.5 million in prizes in one of the world's first head-to-head, high-speed autonomous races with autonomous racecars designed from steering to computer to survive breakneck racing conditions with no human input. Each IAC racecar has built-in ADLINK AVA-3501 series GPU-accelerated computing platform with the critical job of turning gigabytes of sensor data into pinpoint-precision racing action.
ADLINK, Autoware Foundation, Eclipse Foundation and many more have been contributing to the “IAC base software support” enabling IAC university teams to go race using Open Robotics ROS 2 with Autoware.Auto autonomous driving packages and Eclipse Cyclone DDS with iceoryx zero-copy built-in and Zenoh V2X.
Collaborating with Ecosystem Partners to Accelerate “Autonomous Driving for All”
No engineering feat of the magnitude of autonomous vehicles is possible without bringing together the most capable groups and companies with the requisite expertise and aligning them toward a common goal. For example, ADLINK knows that having the most road-rugged, performance-optimized computing platform is meaningless without the right integrated software solution building blocks. This is why ADLINK partnered with Tier IV and AutoCore to create functional safety middleware for autonomous vehicles and mobile robotics. (Note that this same trio is contributing its work and innovations to Foxconn’s global MIH Alliance, a 200+ member consortium devoted to developing an electric vehicle open platform.) The need for an ecosystem is also why ADLINK allied with the Industrial Technology Research Institute to put proof-of-concept autonomous vehicles on real public roads. And it’s why ADLINK takes leadership roles in efforts like Eclipse Cyclone DDS and Eclipse Zenoh V2X to advance development of the software that will drive tomorrow’s autonomous vehicles and robotics. Whether through fledgling industry consortia or collaboration in major partner programs with Intel, NVIDIA and Arm, ADLINK is helping create the autonomous tomorrow.
AI-enabled Connected Autonomous Vehicle Solutions
- Intel® Xeon® 9th Gen with server grade Intel® C246 chipset
- Optional NVIDIA Quadro RTX 8000 or RTX A6000
- Ubuntu 20.04
- Apex.OS certified and supported
- 64GB DDR4, dual SODIMMs
- Rich I/O: 2x DP++, 1x DVI-I, 3x GbE, 8-channel Digital IO, 2x USB 3.1 Gen2, 1x USB 3.1 Gen1, 3x USB 2.0
- Enhanced storage:
- 3TB of Samsung 970 EVO Plus NVME M.2 SSDs
- 2x 512GB hot swappable 2.5" SSD SATA 6 Gb/s system drives
- 6x CAN channels total
- 2x 40GbE QSFP+
- Supports full length RTX 4000, RTX 6000 GPUs
- Optional AC/DC PSU
- NVIDIA® Jetson AGX Xavier™ module
- 8x Gigabit Multimedia Serial Link 2 (GMSL2), through 2x 1*4 mini Fakra typeZ
- Customizable ignition setting
- 2x Isolated CAN
- 1x 10GbE, 1x GbE ports
- 2x USB 3.1
- 1x Mini PCIe for LTE or Wi-Fi module
- 9-36 VDC input with ignition control
- 9th Gen Intel® Core™, Intel® Xeon® E processor
- NVIDIA Turing™ (RTX5000) or Pascal™ (P3000) GPU module
- Customizable ignition setting
- 2x isolated CAN
- 2x 10GbE, 5x GbE
- 2x USB 3.0 lockable, 2x USB 2.0
- 1x M.2 NVMe 2242 B+M, 2280 M (PCIe)
- 2x Mini PCIe for LTE or Wi-Fi module
- 2x 2.5’’ HDD tray
- 9-36 VDC input