The first part of the Autonomy day described the new hardware. This second part is the neural net vision system description and the interaction with fleet data. The third part self-driving software development.
Tesla has a fleet learning approach. They can ask the fleet to provide examples of different examples of specific situations. They can get hundreds of thousands of examples of cars that are carrying bikes or road debris.
They get feedback from the fleet of human interventions that were needed or times when the system was confused.
They are able to accurately path predict what will happen ahead on the road and the expected movement of drivers, cars and objects.
LIDAR points have less information than vision. LIDAR is a shortcut to self-driving and sidesteps key issues that are needed with vision-based driving. Powerful vision recognition and proper understanding and processing of the information is the path that Tesla is taking.
Tesla has a sophisticated trigger infrastructure to select the right cases that the fleet is experiencing that require improvement.
Brian Wang is a prolific business-oriented writer of emerging and disruptive technologies. He is known for insightful articles that combine business and technical analysis that catches the attention of the general public and is also useful for those in the industries. He is the sole author and writer of nextbigfuture.com, the top online science blog. He is also involved in angel investing and raising funds for breakthrough technology startup companies.
He gave the recent keynote presentation at Monte Jade event with a talk entitled the Future for You. He gave an annual update on molecular nanotechnology at Singularity University on nanotechnology, gave a TEDX talk on energy, and advises USC ASTE 527 (advanced space projects program). He has been interviewed for radio, professional organizations. podcasts and corporate events. He was recently interviewed by the radio program Steel on Steel on satellites and high altitude balloons that will track all movement in many parts of the USA.
He fundraises for various high impact technology companies and has worked in computer technology, insurance, healthcare and with corporate finance.
He has substantial familiarity with a broad range of breakthrough technologies like age reversal and antiaging, quantum computers, artificial intelligence, ocean tech, agtech, nuclear fission, advanced nuclear fission, space propulsion, satellites, imaging, molecular nanotechnology, biotechnology, medicine, blockchain, crypto and many other areas.