Rear/Surround Camera ADAS Software
NCAP-compliant ADAS AI for your specific application
Brodmann17 offers surround view ADAS software that uses groundbreaking AI to provide life-saving alerts with 360 degrees coverage. It is provided either as a complete black-box solution trained on extremely challenging weather conditions and scenarios or tailor-made for your specific application and can be differentiated using your specific SOC and features. The solution supports fisheye or wide angle cameras RGB/YUV, resolution from QVGA to 4K.
Surround View Perception Building Blocks
A set of fundamental building blocks designed for the industry’s toughest standards. These modules are based on our deep learning vision technology that accurately detects vehicles, pedestrians, and other objects at just a fraction of computing power.
PD (Pedestrian Detection)
OD (Object Detection)
Target tracking
OL (Obstructed Lens)
Object Measurements
Surround View Functions
A set of NCAP-compliant functions that protects against a variety of accidents. All functions rely on our field-proven ADAS building blocks and have been exhaustively tested and optimized to surpass NCAP minimal requirements.
RCW
(rear collision warning) pedestrian/vehicle collision warning
BSD
Identifying objects in blindspot areas to ensure safe lane changes
Vailable reference designs
To jumpstart your ADAS product you could choose from a variety of available reference designs
Ambarella CV2/22
NXP S32V
Maximal Range [meters]
20
10
Maximal supported Cameras
4
2
Delivering world-class software stack for advanced driver assistance systems and automated driving
Rear-camera/surround view
- Pedestrian (other detections?) alert Rear or 360 (surround) applications
- Rear wide angle or fisheye camera
- From SD to HD resolution; 12 pixel height
- Arm Cortex A53 or higher
- Obstructed lens detection
Fisheye/wide-angle cameras, RGB/YUV, resolution from QVGA to 4K
Minimum processing: ARM core A53, CEVA XM4 DSP
Reference design: Raspberry Pi 3, ARM 2A53, CEVA XM4 DSP
Contact us to
Evaluate required processor needs based on your camera/lens capabilities
Receive guidance on data collection and annotation
Define the specifications based on the needs and target product
Learn about sensor fusion options
Learn how to implement Brodmann17’s technology in your product within a few weeks
Evaluation and testing
15 Rav Aluf David Elazar st. Tel Aviv
