An advanced algorithm-based Parking Sign Assist (PSA) system is critical for autonomous vehicles to understand the complexity of parking rules and react accordingly. In this episode of DRIVE Labs, we show how the NVIDIA DRIVE AV software stack leverages state-of-the-art DNNs and computer vision algorithms to improve autonomous parking in real-world scenarios. These techniques can detect, track, and classify a wide variety of parking traffic signs and road intersections in real time.
00:00:00 - Parking Sign Assist (PSA) for autonomous vehicles
00:00:02 - What is Parking Sign Assist?
00:00:17 - How does live perception work for autonomous vehicles?
00:00:47 - Identifying specialized parking zones using parking signs
00:01:29 - Detecting no parking zones while driving
00:01:42 - How live perception algorithms WaitNet and SignNet work together
Watch the full series here: https://nvda.ws/3lHQP7H
Learn more about DRIVE Labs: https://nvda.ws/36r5c6t
Follow us on social:
Twitter: https://nvda.ws/3LRdkSs
LinkedIn: https://nvda.ws/3wI4kue
00:00:00 - Parking Sign Assist (PSA) for autonomous vehicles
00:00:02 - What is Parking Sign Assist?
00:00:17 - How does live perception work for autonomous vehicles?
00:00:47 - Identifying specialized parking zones using parking signs
00:01:29 - Detecting no parking zones while driving
00:01:42 - How live perception algorithms WaitNet and SignNet work together
Watch the full series here: https://nvda.ws/3lHQP7H
Learn more about DRIVE Labs: https://nvda.ws/36r5c6t
Follow us on social:
Twitter: https://nvda.ws/3LRdkSs
LinkedIn: https://nvda.ws/3wI4kue
- Category
- Hardware
- Tags
- AI, Autonomous Vehicles, Computer Vision
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