LogicTronix is offering ADAS Sensor Fusion Solutions for Automotive OEM and Tier-1 suppliers. Our ADAS Sensor Fusion Solution is based on Xilinx Versal and MPSoC FPGA Platform, Xilinx Versal and MPSoC are power efficient and high performing multi-processing system on chip device or heterogenous platform. This Versal and MPSoC platforms are best suited for sensor fusion and machine learning acceleration. Single device or platform is capable to process LiDAR, Cameras, RADAR and Ultrasonic sensors and perform Machine Learning Workload over the fused sensor information.

LogicTronix is collaborating with a leading German automotive OEM and a North American Tier-1
automotive supplier to develop and deploy an advanced ADAS sensor fusion solution.

Feature of LogicTronix ADAS Solution
  1. Offering Sensor Fusion Capability with AI/ML + Algorithmic methods : with LIDAR, GMSL2/FPD Link III/IV Camera and Ultrasonic Sensors
  2. Machine Learning Capability : performing the Machine learning algorithms for feature extraction and processing streams. We implement LIDAR based Point Cloud based 3D object detection with ML model, Object (Vehicle, Pedestrian, animal) detection with LiDAR and Vision data, recognition ML model, Lane detection/tracking algorithm.
  3. Offering parking aid feature with 8 number of Automotive grade Ultrasonic sensors
  4. Collision Avoidance system and early warning using LiDAR.
  5. Offering feature towards ADAS Level 2+ functionality

LogicTronix ADAS 2.1 [2026]

LogicTronix ADAS Sensor fusion solution leverage AMD-Xilinx Versal Adaptive SoC for Vision, LiDAR and other sensor data processing , running AI/ML on top of those and visualizing it. We optimize the algorithms and applications on Versal VEK280 with VE2802 AI Edge device, as of so, the AI Engine in Versal used for LiDAR data processing , AIE-ML + PL for AI/ML and PS for managerial tasks.

The Versal AI Engine is highly suited for LiDAR point cloud and radar data processing. It delivers low-latency, high-performance computing within a single Versal device. With dedicated vector and matrix processing capabilities, the AI Engine is optimized for parallel mathematical operations commonly used in sensor fusion, signal processing, and AI/ML workloads. This architectural advantage enables significantly higher computational efficiency and throughput.

As a hardened block integrated directly into the Versal architecture, the AI Engine provides deterministic performance and competes effectively with NVIDIA Orin edge GPU platforms. In addition, Versal devices offer lower power consumption compared to edge-based GPU alternatives, making them well-suited for power-sensitive automotive applications.

ADAS Sensor Fusion with AMD Versal Adaptive SoC – demo from AMD RTT , Kuala Lumpur, Malaysia

LogicTronix ADAS 2.0 [2025]

LogicTronix ADAS 2.0’s features:

  1. 360 Surround View System for parking aid
  2. Collision Warning System with Vision ML and LiDAR ML model
  3. Drive-in ML model for object and signs detection
  4. Data Logging in 10G ethernet interface
  5. Perception and Navigation Stack – on development
ADAS Surround View System with AMD-Xilinx MPSoC FPGA
ADAS Surround View System with AMD-Xilinx ZCU102 MPSoC FPGA
ADAS 360 Surround View System with ZCU102 MPSoC FPGA with 4 RGB camera setup

Watch LogicTronix ADAS Webinar [2022]

LogicTronix ADAS 2.0 (2024)

LogicTronix ADAS 2.0 coming with LIDAR + 8 GMSL Camera Sensor + 8 UltraSound and Machine Learning Capability on top of LIDAR Point Cloud and Camera Streams

LogicTronix ADAS 1.0 [2022]

In MPSoC we are offering ADAS Sensor Fusion (Computer Vision+ LIDAR + UltraSound) and Machine Learning acceleration over those sensors input.

LogicTronix ADAS 1.0 Solution with 4 Camera + ML Implementation [ADAS- Driver Assistance]

The most suitable interface for ADAS solution are GMSL and FPD Link, our ADAS solution takes the GMSL 2 Camera link interface with more than 4 Camera and those camera are pre-processed, here is pre-processing algorithms we performed:

GMSL/FPD Camera link Vision pre-processing pipeline (performed inside MPSoC FPGA)

And pre-processed stream is passed to Machine Learning Pipeline inside MPSoC FPGA.

LogicTronix ADAS prototyping and demo platform with 4 GMSL Camera-FMC-FPGA

Reference Tutorials by LogicTronix: ADAS [Automotive] Solutions

  1. ADAS Reference Design with Xilinx MPSoC FPGA and AI/ML – by LogicTronix [LRFD-031]: PDF Link
  2. ADAS tutorial at Hackster: Link

For more information about our ADAS Solutions and upcoming features on ADAS, please write us at: info@logictronix.com or fill-up following contact form.

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