Summary of Cruise Under the Hood 2021 | FULL EVENT

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00:00:00 - 01:00:00

The video discusses the features and capabilities of Cruise's autonomous vehicle technology. It explains how deep learning is used to make predictions about future events, such as when a car will move out of a parking spot or when a cyclist will nudge a car. The video also highlights the importance of designing the architecture of the autonomous vehicle to be specifically focused on interactions between multiple agents.

00:00:00 The cto and founder of cruz, Kyle Voad, is presenting a Cruise Under the Hood event. This event provides an overview of what makes a cruise av work, what potential opportunities exist for the technology, and how it can benefit society. There are significant technical challenges to be overcome, but also immense potential for societal impact and business opportunity.
00:05:00 The video covers the three main themes of the cruise under the hood 2021 event: san Francisco, ml technology, and scale. San Francisco has been a testing ground for self-driving technology for a while, and the ml engineers hired to work on the technology have helped make the software more robust. The cost of sensors and compute technology has been reduced, and the cost of the Bolt electric vehicle has been decreased by bringing down the cost of the compute platform and sensors.
00:10:00 Cruise under the hood 2021 discusses how the company has reduced its reliance on maps, moved to an iterative model, and developed tools and workflows to enable rapid iteration. The video also features a ride in a driverless car.
00:15:00 The senior manager of perception at Cruz, Ruin, described the challenges of driving in a city, including the challenges of recognizing unusual objects and unpredictable behaviors from other agents. He said that the system used by Cruz is designed to be able to generalize to long-tail scenarios, reason under uncertainty, and learn continuously.
00:20:00 The video showcases the features and capabilities of Cruise's autonomous vehicle technology. It explains how deep learning is used to make predictions about future events, such as when a car will move out of a parking spot or when a cyclist will nudge a car. The video also highlights the importance of designing the architecture of the autonomous vehicle to be specifically focused on interactions between multiple agents.
00:25:00 The video discusses how ai systems work to understand and predict interactions in a dynamic and complex world. It discusses how data is mined for interaction data, how machine learning is used to improve data effectiveness, and how human supervision is used to improve accuracy.
00:30:00 The video discusses the Cruise decision engine, which uses Perception to generate decision-making models for a scene. The engine is used to produce steering and acceleration instructions for actors in a scene, as well as joint modes and distributions for all actors. Machine learning is used to predict future states of actors, and conflict resolution is used to determine the actions to take.
00:35:00 The video discusses how a car's trajectory is determined by a number of factors, including physics and road rules. It also discusses how a car can deal with uncertainty in its surroundings, including kinematic and existence uncertainty. Finally, it discusses how a car can react to an unexpected event, such as a cyclist coming into its path.
00:40:00 The video discusses how the car resolves interactions in a city, such as driving slowly around a truck or yielding in an intersection. It also explains how interaction resolution works in real-time.
00:45:00 The video discusses how Cruise Under the Hood 2021 uses offline learning to create policies for driving in difficult, uncertain environments such as parking lots. This is done by training a policy for each situation, simulating the environment, and then evaluating the results.
00:50:00 The video discusses the importance of fast reflexes, proactive conflict resolution, and accurate modeling in autonomous vehicle driving. It also provides examples of how these principles are applied in real-world scenarios.
00:55:00 Cruise Under the Hood 2021 will explore how autonomous vehicles can be safely scaled by using simulation to explore large-scale parameter spaces. Road to Sim and NPC AI will be used to create realistic, agent-based simulations of city streets. This technology will allow for more robust testing of autonomous vehicles in rare and difficult situations, making it easier to introduce new cities to the Cruise fleet.

01:00:00 - 02:00:00

The video discusses the efforts of Cruise Automation to develop a reliable and safe self-driving car. It discusses the importance of having a powerful and energy-efficient compute platform, and shows a prototype of a sensor pod that has been redesigned to be more compact and efficient. The company is also working on a fourth-generation compute platform that will be based on their in-house custom silicon development.

01:00:00 This video explains how Cruise Automation uses simulation to ensure that its vehicles look and behave the same in real world as they do in simulation. This allows the company to develop new av platforms more quickly and with greater accuracy.
01:05:00 Cruise Under the Hood 2021 is a presentation by team at Cruz describing their approach to developing advanced AI and driving vehicles. Continuous data collection and analysis, automation of event extraction and classification, and integrated simulation capabilities are used to drive rapid progress and improve safety.
01:10:00 Webvis is a collaboration platform used by more than 95% of the people at Cruz, and it is versatile enough to be used for a variety of different workflows. Webvis supports incredibly different workflows, and its remote build and remote testing infrastructure enables job batching and job queuing to speed up the change run analyze cycle.
01:15:00 The Cruise team is excited to reveal the Cruise Origin Vehicle, which is a platform that will be used to win two business lines - ride hail and delivery. The platform is based on the same base vehicle platform that was used to win ride hail, and has already been tested at GM's Milford proving grounds.
01:20:00 Origin describes their plans to transition their fleet from carrying passengers to delivering goods, with the ultimate goal of becoming a self-driving taxi company. They outline the various challenges they face in this endeavor, such as the need for a cost-effective, scalable platform and the need for a lot of existing infrastructure. Origin acknowledges their partnership with GM and Honda, which has helped them achieve their goals thus far.
01:25:00 The cruise under the hood 2021 event discussed the importance of effective and cost-effective AV hardware, the challenges of meeting these goals, and the importance of strategic and unemotional decision-making when selecting AV hardware. The event also highlighted the importance of long-wavelength radar and solid-state design for future-proofing AV hardware.
01:30:00 The presenter discusses some of the challenges involved in designing and manufacturing sensors for autonomous vehicles. He talks about the importance of sensor coverage, minimizing energy consumption, and minimizing wind noise. He also discusses the importance of customer comfort and exterior microphones.
01:35:00 The video discusses the need for sensor cleaning on self-driving cars, and the importance of having a powerful and energy-efficient compute platform. The company is working on a fourth-generation compute platform that will be based on their in-house custom silicon development. This will allow for focused and improved processing capability while reducing pace costs and power consumption. The video also shows a prototype of a sensor pod that has been redesigned to be more compact and efficient.
01:40:00 The video shows various aspects of the development of the Origin self-driving car, including the use of sensors and artificial intelligence. It discusses the importance of having a safe and reliable self-driving foundation, and how transitioning from research and development to a product that millions love requires more than just AI and robotics. The product team is focused on developing features that will accelerate adoption of the Origin self-driving car, such as world-class customer support and incident response, and exceptional in-car experiences.
01:45:00 Cruise under the hood 2021 describes the company's efforts to create a significantly more reliable, safe, and relaxing ride home for customers. The company's technology is coming together to create this experience, and they will be sharing details of this upcoming product in a upcoming video.
01:50:00 Cruise Under the Hood 2021 is an event where dispatch adjusts the schedules of every car in the fleet to ensure that the customer is matched with a car that will be available when they need it. This event is meant to give the user back time to themselves, and the combination of physical and digital technology is what makes the experience really special.
01:55:00 Cruise Under the Hood 2021 is a full event that will allow riders to navigate around construction within seconds and without any disturbance to their nap. Keys will be lost frequently on rideshare, andcruz is building a more reliable and relaxing experience for customers. Kiara will find the keys and mark them as found within seconds, and a reminder will be sent to passengers to grab their belongings before leaving the vehicle. Customer service is empowered to quickly find and return the keys, and riders can schedule drivers to deliver the items immediately.

02:00:00 - 02:30:00

The video discusses the Cruise Under the Hood 2021 event, which was designed to help engineers develop a driverless taxi system. The event featured a ride in a driverless Robo Taxi, which was a long time in the making. The speaker discusses the importance of road testing and the use of simulation to identify potential issues.