Self Driving Cars
Self Driving Cars is a By the Bay technology conference.
Talks & recordings
13 connected sessions
Autonomous Vehicles 101
This step-by-step guide, on how to create your own Autonomous Vehicle, addresses the fundamental considerations and decisions that need to be made when starting the journey of developing one owns Autonomous Vehicle. The first and most important step is to define the purpose for the autonomous vehicle, which will in return specify the vehicle type, velocity, holding capacity and the type of traffic environment to be expected. Based on those specifications the next step is the selection of the appropriate perception sensors and ways of digesting the data from these sensors in real time using capable software and computing platforms. Step number three defines on how to control the vehicle, which can be fully electronically with a by-wire system or by adding computer controlled motors and actuators on a regular non-by-wire vehicle to enable it for autonomy. The last step is the most challenging, as it involves actual intelligence to define the necessary decision making for steering, accele
Autonomy at Scale: The Need for Interop
Renovo provides an automotive-grade platform to support fully autonomous (SAE Level 5) vehicles in delivering a trusted, reliable, and affordable mobility-on-demand services.
Becoming a Self-Driving Car Engineer
Companies ranging from Google to Tesla to NVIDIA are on the hunt for great engineers to build self-driving cars. Learn how to acquire the skills to work in one of the most exciting fields of software engineering!
Becoming a Self-Driving Car Engineer
Companies ranging from Google to Tesla to NVIDIA are on the hunt for great engineers to build self-driving cars. Learn how to acquire the skills to work in one of the most exciting fields of software engineering!
Bringing Automated Driving Software to t...
Many of the tools and processes at the core of autonomous driving technologies were developed in research labs and universities. With the industry reaching a new level of maturity, these tools need to “grow up” in order to meet the challenging requirements of production vehicles. These infrastructure components will form the basis of a new software ecosystem that combines the scale of modern data centers with the rigorous safety requirements of aircraft. We explore the results of extensive customer discovery, summarizing the various approaches and identifying some opportunities to accelerate development.
Building Training Data for Autonomous Dr...
Building training data for computer vision models that can detect and recognize foreground objects in images like trees, pedestrians and bicyclists is one thing. But building training data for autonomous driving—which must see everything going on in the scene from the objects to the environment itself—is quite another. Say you have a photo of a street scene with multiple cars, pedestrians, trees, sky, road, etc. How do you label objects that aren’t as simple to define, like the gaps in the trees with sky in between them? What about defining the percentage of the sky in an image of the same road when the leaves are in full bloom vs. when they’ve fallen to the ground? Or what about snow on the ground: do you tag the snow, the ground, or both? It challenged Mighty AI to reconsider its entire image-labeling workflow. In this presentation, Mighty AI Founder & CTO Daryn Nakhuda will drill into the challenges of creating semantic segmentation masks, including workflow design and annotation
Keynote: AI and Self-Driving Cars
Self-driving cars have AI at heart. Deep Learning enables this AI, and new computing approaches are required to make it a reality.
Panel: Smart Cars and Smart Cities
This panel will explore a range of topics combining self-driving AI, smart cities, urban development, and legal and policy implications.
Rooftop Party Overlooking the Bay: Food,...
“Rooftop Party Overlooking the Bay: Food,...” is a recorded developer talk from By the Bay, preserved in the devreal community archive.
Self-Driving Lessons from Comma AI
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Scale By the Bay 2019 is held on November 13-15 in sunny Oakland, California, on the shores of Lake Merritt: https://scale.bythebay.io. Join us! -----
Starsky Robotics: ↑↑↓↓← → ← → Autonomous
Starsky Robotics is an 11-person driverless truck startup which, by using a series of cheats and hacks, has already moved freight on the highway. CEO Stefan Seltz-Axmacher and CTO Kartik Tiwari will discuss how business and tech sides can work together to constrain a difficult problem into an incredibly feasible solution.
Technical Challenges of Self-Driving Tru...
Jur van den Berg, PhD, will focus his talk on specific technical challenges in motion planning and control for trucks versus personal vehicles. In particular, he will discuss from an engineer’s perspective a few of the technical challenges that present themselves during the development of a self-driving truck. Examples of technical challenges include staying in lane, turning radius, discerning a stopped vehicle from a non-stopped vehicle, and speed control on hills or mountains. Jur will be applying his discussion in the context of Otto’s recent history-making feat of completing 120 continuous autonomous highway miles to deliver 50,000 cans of Budweiser in Colorado.
The Role of High Definition 3D LiDAR in...
Velodyne is the maker of the LiDAR used on all top self-driving cars.
Connections
12 relationships