tesla

Tesla's 2023 Investor Day, a nearly four-hour presentation covering Master Plan 3, vehicle design, powertrain, electronic architecture, manufacturing and sustainable energy economics.

Andrej Karpathy's CVPR 2021 presentation on Tesla's Autopilot, covering its vision-based approach, sensor choices and the scale of Tesla's deep learning compute cluster. This upload is a lower-quality copy of the talk.

Tesla's 2020 Battery Day event, with a company update and a keynote on new cell design, manufacturing, vertical integration and cheaper lithium and materials. It ends with the Plaid Model S and a Q&A.

Tesla's roughly four-hour Autonomy Day investor event covers its in-house self-driving chip, vision-only approach, fleet data engine and robotaxi plans, with talks by Andrej Karpathy and others.

Tesla's full AI Day 2022 presentation, covering the Tesla Bot hardware and software, Full Self-Driving planning and perception, the occupancy network, data labeling, simulation and Dojo training infrastructure.

Tesla's 2021 AI Day presentation covering vision, planning and control, auto-labeling, simulation, the Dojo training hardware and the Tesla Bot announcement, followed by a Q&A.

Andrej Karpathy, then Tesla's head of AI, presents at ScaledML 2020 on how Tesla builds full self-driving using vision-based neural nets and fleet data collection. He covers training custom detectors and neural nets gradually replacing traditional code.

Andrej Karpathy, then Tesla's head of AI, gives a CVPR 2021 workshop keynote on how Autopilot's neural networks work. A large part covers the move to a vision-only stack, including why radar was dropped and how vision produces depth estimates.

A DEF CON 23 talk by Marc Rogers and Kevin Mahaffey walking through the architecture of the Tesla Model S, what Tesla got right and wrong, and how the interconnected systems can be hacked. It also covers the data the car collects.

A QCon London 2020 talk by Tesla engineers on the architecture of Tesla's Virtual Power Plant. It covers aggregating distributed batteries and solar with vertically integrated hardware and software across cloud and edge.

A clip from Tesla Autonomy Day 2019 where Elon Musk argues cameras are enough for self-driving and calls lidar a fool's errand.

Mobileye co-founder and CTO Amnon Shashua explains what goes into sensing for autonomous driving and whether end-to-end deep learning can work for it. He argues for decomposing the problem.

Chris Urmson's SXSW 2016 talk on Google's self-driving car project, covering 1.3 million self-driven miles and the gap between hype and reality. It shows sensor visualizations and playbacks of hard situations the cars met, and discusses failures such as the low-speed bus collision.

George Hotz of Comma AI gives a 2017 conference talk on lessons from building a self-driving system. He argues about how driving should be defined and why the common approach to autonomous vehicles is flawed.

Tony Seba's 2016 keynote argues that batteries, electric vehicles, self-driving cars and solar will converge to disrupt energy and transportation. He predicts by 2030 all new vehicles will be electric and autonomous and that oil and other fossil fuels will be obsolete.

Novelist Daniel Suarez warns in a TED talk about autonomous robotic weapons and drones. He argues that taking the decision to kill out of human hands threatens democratic accountability and calls for a ban.

Part 2 of the IROS 2011 keynote by Sebastian Thrun and Chris Urmson on Google's self-driving car. It shows how the car perceives its surroundings with a lidar point cloud and recognizes traffic lights and pedestrians. The audio is poor because it was recorded on a pocket camcorder.

Robin Deits presents the JuliaRobotics organization and shows how Julia is used to visualize, simulate and control a humanoid robot. The talk touches on real-time performance and composability across packages.

Stanford futurist Tony Seba argues that electric vehicles, battery storage, solar and autonomous vehicles form a 10x exponential disruption that will make fossil fuels obsolete within about a decade. It draws on his Clean Disruption book.

A DEF CON 23 talk on researching whether a commercial quadcopter could be forced to land by interfering with its GPS signal, inspired by a neighbor's kid's drone. It covers the research and the legal and technical issues encountered.

Chris Urmson, head of Google's self-driving car program, shows footage of how the car perceives the road and decides what to do. Examples include cyclist hand signals, school buses, police officers and complex intersections.

Charlie Miller and Chris Valasek present their DEF CON 23 talk on remotely compromising an unmodified Jeep, pivoting from the entertainment system to the vehicle's internal networks to send control messages. They aim to show the reality of car hacking.

A TEDx talk arguing that battery electric vehicles are not as environmentally friendly as commonly believed and that the rush to adopt them is misguided. TED flagged it as containing claims that lack scientific support.

In a TEDGlobal talk, Raffaello D'Andrea demonstrates quadcopters that play catch, balance, learn and coordinate, using algorithms that treat them like athletes. It includes Kinect-controlled quads.