Arm on Autonomous Automotive
Let me start this post with a brief history of autonomous driving. Most people date the start of the autonomous driving era to 2004, with the Grand Challenge in the Mojave Desert over a 150-mile course. That turned out to be 142 miles longer than necessary, since the furthest any vehicle got was eight miles and the $1M prize was not awarded. Perhaps a more auspicious year to pick as the start of the autonomous driving era would be 2005, when the second Grand Challenge took place, with the prize money up to $2M. Five vehicles finished the entire 132-mile course. (I wrote about this in one of my first blog posts here Ten Years Ago Self-Driving Cars Couldn't Go Ten Miles.) The third Grand Challenge a couple of years later involved all the vehicles, along with other vehicles with professional drivers, all driving around a disused US Air Force base at the same time. Many vehicles successfully negotiated the course, obeying traffic laws and avoiding other vehicles. In just a few years, the technology had advanced so fast that everyone assumed we'd all be driving autonomous cars within another ten years...by 2017 or so.
To read the full article, click here
Related Semiconductor IP
- UFS 5.0 Host Controller IP
- PDM Receiver/PDM-to-PCM Converter
- Voltage and Temperature Sensor with integrated ADC - GlobalFoundries® 22FDX®
- 8MHz / 40MHz Pierce Oscillator - X-FAB XT018-0.18µm
- UCIe RX Interface
Related Blogs
- AI Based Software Designing AI Based Hardware - Autonomous Automotive SoC Platform
- Arm Mali-G78AE becomes world's first fully certified automotive grade GPU
- Cortex-M55: Functional Safety ready and fuelling the next generation of automotive microcontrollers
- Cortex-M23: Now Enhanced for Safety-critical Automotive Applications
Latest Blogs
- Satellite communications are no longer as secure as assumed
- Why Hardware Monitoring Needs Infrastructure, Not Just Sensors
- Why Post-Quantum Cryptography Doesn’t Replace Classical Cryptography
- The Silent Guardian of AI Compute - PUFrt Unifies Hardware Security and Memory Repair to Build the Trust Foundation for AI Factories
- Heterogeneous NPU Data Movement Tax: Intel's Own Slides Tell the Story