| 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 |
|
|
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) |
|
|
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 |
|
Analyzing vast amounts of on-road test data |
System Architecture of Sasken’s ADAS Platform

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:
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:
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.
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