ADAS & AUTONOMOUS

Trends Implications Challenges Sasken is Solving

Regulations mandating compulsory ADAS features on all new vehicles

There is a need to deploy ADAS even for vehicles targeted towards lower market segment

  • Ensuring minimal hardware changes to provide additional ADAS features and minimizing validation costs
  • Minimizing complexity and pruning neural nets for edge use cases

Emergence of Adaptive AUTOSAR as a choice for ADAS/V2X domain

Need to develop safe, secure & time critical ADAS/V2X ECUs based on Adaptive AUTOSAR architecture

Designing safe and secure Adaptive AUTOSAR based ECU architecture

New safety and security standards for Autonomous vehicles

Need to adhere to safety and security standards like ISO 26262, ISO 21448, ISO 21434, UL 4600

Meeting both safety and security goals and compliance

Increased focus on performance and accuracy to ensure ZERO fatalities

There is a need to develop efficient and faster DL-based algorithms on high performance computing platforms (DCUs)

  • Reproducing data from various sources for improving accuracy of algorithms
  • Selecting right set of parameters for measuring performance

Increased customer apprehension towards Autonomous vehicles

Vehicles need to be made drive ready in any environment, i.e. terrain, weather, traffic scenario

Improving test coverage to cover the edge-scenarios as well

Emergence of 5G Connectivity technology

  • Provides an opportunity to off load non-streaming use-cases and compute to cloud.
  • Creation of data management platform to accelerate algorithm testing and training

Analyzing vast amounts of on-road test data

SOLUTION OFFERINGS

  • OnBoard Intelligence Applications:
    • 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:
    • V2V Coordination, V2I Interaction
    • HD Maps, SLAM, Collision Avoidance
    • Lane Change Assist & Route Planning
    • Micro Path Planning & Traffic Management
  • Automated Vehicle Control (Low Speed) Applications:
    • Automated Parking
    • Automated Emergency Breaking
    • Automated Steering Control
  • Engineering Services to develop platforms for ADAS/Autonomy with more control on core technology:
    • Heterogeneous Connectivity & Computing
    • Sensor & System Integration
    • Point Cloud Processing & Localization
    • System Validation and Maintenance
  • Reference Hardware and SDK design & development services
  • Data management platform for both on-cloud deep learning and validation services
    • Remote vehicle update services (OTA)
  • Safety and Security
    • Verification & Validation activities as per ISO 26262, ISO 21448 (SOTIF), ISO 21434, UL 4600

System Architecture of Sasken’s ADAS Platform

system_Architecture_of_Sasken__ADAS_Platform

Click to Enlarge

WHY SASKEN

  • Experience in developing and productizing Vision and RADAR fusion perception system integrating on-board intelligence applications that is:
    • Configurable and scalable to accelerate ADAS product roadmap to L3 autonomy
    • Provides easy personalization with smart fusion of multiple sensors with Deep Learning on Automotive Grade Platform
    • Unified solution that lowers the cost of ownership and reduces add-ons for partners
    • Market-ready having trained with more than 10,000 hours of test drive data in India & Japan
  • 40+ person years of sensor and computer vision expertise
  • Experience in turn-key product development with state-of-the-art labs with Deep Learning training, Autonomous Vehicle Sensors, and Test vehicle
  • Customizable and reusable framework and solutions

FAQs

Frequently Asked Questions  

Sasken provides end-to-end product engineering services for ADAS and autonomous vehicles, focusing on sensor fusion, computer vision, and platform development. They help manufacturers accelerate development by integrating perception engines that combine radar, lidar, and camera data. This comprehensive approach reduces overall ownership costs for Tier-1 suppliers and OEMs.

Sasken offers full-stack engineering to speed up autonomous vehicle production.

Sasken ensures autonomous vehicle safety by performing rigorous verification and validation activities according to global industry standards. They adhere to specific regulations such as:

  • ISO 26262 (Functional Safety)
  • ISO 21434 (Cybersecurity)
  • ISO 21448 (SOTIF)
  • UL 4600

These processes help manufacturers meet critical safety goals while minimizing potential risks on the road.

Compliance with international safety and security standards is central to Sasken’s validation process.

The main challenges in ADAS development include managing neural network complexity, controlling core technology, and reducing high validation costs. Manufacturers often struggle to shorten development cycles while maintaining high quality. Sasken addresses these by pruning neural nets for edge use cases and providing customizable, reusable frameworks.

 

Sasken helps OEMs overcome technical complexity and high costs through optimized software frameworks.

Sasken offers a variety of onboard intelligence applications designed to improve driver safety and vehicle awareness. Key features include:

  • Forward Collision Warning
  • Driver Alertness Detection
  • Traffic and Road Sign Detection
  • Pedestrian Warning and Object Detection

These tools help vehicles and drivers respond faster to potential hazards in various environments.

Onboard intelligence focuses on real-time detection and driver alerts to prevent accidents.

Yes, Sasken supports connected vehicle technology through applications like V2V (Vehicle-to-Vehicle) coordination and V2I (Vehicle-to-Infrastructure) interaction. They provide solutions for high-definition (HD) maps, route planning, and collision avoidance. These services leverage 5G connectivity to offload non-streaming compute tasks to the cloud for faster processing.

Connected intelligence enhances navigation and safety through real-time communication between vehicles and infrastructure.

Sasken’s perception engine integrates multiple sensors like radar and lidar to create a scalable, market-ready solution for L3 autonomy. It uses smart sensor fusion and deep learning to provide highly accurate environmental data. This unified system reduces the need for hardware changes, effectively lowering the total cost of ownership.

The perception engine provides a pre-trained, configurable system that speeds up the roadmap to vehicle autonomy.

Sasken utilizes Adaptive AUTOSAR architecture to develop safe, secure, and time-critical electronic control units (ECUs) for modern vehicles. This architecture—a standardized software framework—is essential for managing the massive growth of data science and complex communication within connected vehicles. It ensures that vehicle systems remain reliable while handling high-performance computing tasks.

Using Adaptive AUTOSAR allows for the creation of secure and scalable software for complex automotive systems.

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