Autonomous, ADAS & V2X

Autonomous, ADAS & V2X

Latest reports by Statista projects the market size of partially autonomous vehicles to grow to $36 billion and fully autonomous vehicles to grow to $6 billion by 2025. In order to make way for this rapid growth, investments are being made by various constituents of the value chain such as silicon vendors, OEMs, and sensor manufacturers which is resulting in innovations in chip design, Artificial Intelligence (AI) and Deep Learning, Radar, and Computer Vision based solutions which are key to realizing vehicle autonomy. With regulations for autonomous cars still evolving, it becomes necessary for technology providers to ensure that the systems are compliant with increasing regulatory requirements. The issue of liabilities in case of mishaps is a complex question that does not have a simple answer. This therefore requires a validation strategy that is aligned with this changing and evolving landscape.

Sasken provides engineering services to OEMs and Tier-1s to enable them to develop Autonomous Driving Assistance Solution Platform by integrating computer vision, radar sensor, connectivity, mapping, and path planning technologies. Sasken offers technology-focused end-to-end product development services to accelerate customer’s roadmap for autonomous driving. Sasken offers solutions that support rich, connected in-car experiences while also connecting vehicles to one another, pedestrians, road infrastructure and the cloud. Our cost-competitive solutions provide superior communications technologies and platform development capabilities to tens of millions of connected vehicles on the road today. We also offer digital transformation services with more ownership of content in cognizant to cloud and enterprise scale applications. 

  • Offerings

    Applications for Vehicle Autonomy

    • OnBoard Intelligence Applications – Driven by Deep Learning based Vision Tech, Radar & Sensing Tech
      • Driver Alertness detection
      • Forward collision warning
      • Traffic sign detection
      • Road Sign detection
      • Range Sensing
      • Pedestrian Warning
      • Object detection
      • Lane Detection/drift
      • Blind Spot
      • Surround view/point cloud
      • Parking Assist
    • Connected Intelligence Applications – Driven by wireless connectivity, V2X, GNSS & navigation
      • V2V coordination
      • V2I interaction
      • HD Maps
      • SLAM
      • Collision Avoidance
      • Lane Change Assist & Route Planning
      • Micro Path Planning & Traffic Management
    • Automated Vehicle Control Applications – Driven by OEM Car Mechanical/Electrical Control technology by ECU design
      • Automated Parking
      • Automated Emergency Breaking
      • Automated Cruise Control & Automated Steering Control
    • ADAS Solution Test Bench for Vision ECU
      • Scenario simulation, sensor fusion
      • Vision algorithm validation
      • Video generation, Sensor signal generation
    • AI Frameworks and Solutions
      • Machine Learning Frameworks - Data Clustering, Modelling through Machine Learning, Inferencing Engine
      • Solutions - Auto tagging, drowsiness detection, forward collision warning
         

    Applications for Vehicle Autonomy

    • Reference board, Antenna design
    • Application Processor
    • Modem Integration: DSRC & C-V2X
    • Peripherals Integration -GPS/GNSS (with DR), CAN/Vehicle Network
    • ITS Safety Applications
    • Security -HSM, Sandboxing, Key
    • RSU specific feature integration-Backhaul connectivity, Traffic Management System
    • Integration with Cloud services            
    • Product Feature Validation & Performance Testing
    • Interoperability and Field Testing

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