Phantom AI’s software runs on Renesas’ R-Car V3H platform – it provides enough computing power to enable a Level 2 ADAS feature set and meets functional safety needs, explains Hyunggi Cho, co-founder and CEO of Phantom AI. “This system-on-chip (SoC) provides a perfect balance between deep learning and traditional computer vision hardware acceleration and is an ideal complement to our computer vision technology.” The autonomous driving level 2, defined by the SAE, means that the vehicle masters autonomous functions such as automatic parking, lane keeping, general longitudinal guidance, acceleration and braking if an obstacle is encountered.
The software collection consists of three core products:
- PhantomVision: a highly scalable deep learning-based computer vision system that supports vehicle, pedestrian, bicyclist, free-space, traffic sign and traffic light detection.
- PhantomFusion: a platform independent sensor fusion and object tracking system that makes use of camera, radar and LiDAR and helps vehicles to keep track of anything surrounding them.
- PhantomDrive: a complete ADAS control system that enables features such as adaptive cruise control, lane centering and automatic lane change.
Analysts are predicting that the ADAS market will reach USD $134.9 billion by 2027, up from USD $30 billion in 2019. As ADAS technologies are developed and refined, automotive OEMs look to appeal to a wide range of customers with an increasing range of safety and convenience focused features.
Phantom AI’s software provides OEMs and tier-1 suppliers an opportunity to deploy ADAS solutions across various low- to mid-end vehicle platforms where development cost is a big concern for manufacturers. The software provides a cost-effective NCAP 2020 compliant solution with no impact on the system performance. Functional safety is a key ADAS requirement from vehicle manufacturers and collaboration with Renesas enables Phantom to deliver ISO26262-compliant solutions. Renesas provides a fully optimized and validated SOC / PMIC / timing chip set to reduce development efforts and bill of materials (BOM). The integration of real-time core integration in an SoC, including full Autosar support removing the need of external MCU, contributes to further BOM reduction.
More information: https://www.phantom.ai/.