Autonomous Vehicle Trends and Technology Evolution
The automotive industry is undergoing a revolution unlike any other time in its history. The proliferation of sensors such as cameras, LiDAR, and radar in automobiles has led to the emergence of advanced driver-assistance systems (ADAS) which are equipping modern vehicles with unprecedented functionality in terms of autonomy, safety, and performance.
However, with the increase in sensor activity, the industry is also seeing significant challenges on the hardware, compute, and design sides. Specifically, the amount of data being produced by these sensors is creating issues in terms of data management, control, and processing. At the same time, achieving performance and safety requires real-time, low-latency processing of this data.
To read the full article, click here
Related Semiconductor IP
- NPU IP Core for Mobile
- NPU IP Core for Edge
- Specialized Video Processing NPU IP
- HYPERBUS™ Memory Controller
- AV1 Video Encoder IP
Related Blogs
- Ethernet Evolution: Trends, Challenges, and the Future of Interoperability
- Semiconductor Technology Nodes - History, Trends and Forecast
- 5G Evolution, the road to realizing the full extent of 5G Technology Revolution
- RISC-V Impact on Technology and Innovation
Latest Blogs
- Cadence Extends Support for Automotive Solutions on Arm Zena Compute Subsystems
- The Role of GPU in AI: Tech Impact & Imagination Technologies
- Time-of-Flight Decoding with Tensilica Vision DSPs - AI's Role in ToF Decoding
- Synopsys Expands Collaboration with Arm to Accelerate the Automotive Industry’s Transformation to Software-Defined Vehicles
- Deep Robotics and Arm Power the Future of Autonomous Mobility