UBER first and only fatality of self-driving vehicles on 18th of March 2018. Uber reportedly thinks its self-driving car killed someone because it ‘decided’ not to swerve. Our hopes it’s going to be the only and fatality of autonomous vehicles AV.

John Krafcik, WAYMO’s CEO confirmed that his company’s self-driving software would “likely” have avoided the pedestrian death in which an Uber autonomous car was involved.

On the other hand, on 4th of May 2018, WAYMO released a video from the front-facing cameras in its car, with the brief clip showing a silver Honda coming across the central median and approaching the Waymo autonomous vehicle almost head-on. Waymo claims the AV was in manual mode.

NAVYA can be summarized in 3 words: Autonomous, Driverless and Electric Car. Navya shuttle developed serves cities and private sites by bringing ever more mobility to industrial parks, resorts, private sites and cities. The shuttle conceived by NAVYA is an innovative, effective, clean and intelligent mobility solution. AUTONOM SHUTTLE guarantees autonomous transport performance as well as a comfortable trip for the first and last mile, thanks to its gentle navigation. Data from Lidar sensors, cameras, GPS RTK, IMU and odometry is merged together and interpreted by deep learning programs. AUTONOM SHUTTLE moves about efficiently and makes proficient decisions, Without any driver!

On the 4th April 2018, Groupe ADP launched a trial of two fully electric, driverless shuttles, a first at a French airport. Located in the heart of the airport’s business district, Roissypole, they connect the suburban train station (RER) to the Environmental and Sustainable Development Resource Centre and Groupe ADP’s headquarters. KEOLIS, the operator, has joined forces with NAVYA, the French autonomous shuttle designer, to carry out the pilot project until July 2018.

LYFT puts 30 self-driving cars to work in Las Vegas on the 4th of May 2018

12th of May 2018, A TESLA sedan S has rear-ended a fire department truck at 60 mph (97 km/h) apparently without braking before impact, but police say it’s unknown if the Autopilot feature was engaged. The National Transportation Safety Board (NTSB) and the National Highway Traffic Safety Administration are investigating at least two other crashes involving Tesla vehicles, one of them on the 9th of May 2018 where a Tesla Model S crashed and caught fire in Fort Lauderdale, Florida, killing two teenage males and sending a third to the hospital.

MIT‘s self-driving car CSAIL can navigate unmapped country roads, MapLite helps the AV find its way without the need for a 3D map

DRIVE.AI will offer a self-driving car service for public use in Frisco, Texas starting in July 2018

MOBILEYE, Intel Corp’s autonomous driving unit, has signed on the 17th of May 2018 a contract to supply eight million cars at a European automaker with its self-driving technologies. Mobileye’s EyeQ technology, with its market proven success that began in 2004, has already been adopted by 27 car manufacturers. What sets the EyeQ family of system-on-chip (SoC) devices apart from the competition is EyeQ’s ability to support complex and computationally intense vision processing, and still maintain low power consumption even while located on the windshield. Mobileye is currently developing its fifth generation EyeQ5, to act as the vision central computer performing sensor fusion for Fully Autonomous Driving (Level 5) vehicles that will hit the road in 2020

ZOOX will start operating its self-driving taxi fleet in 2020

COWAROBOT developed a low speed autonomous street sweeper, led by Softbank Chin

BMW has already made clear its intent to launch self-driving cars by 2021. Now, the automaker has decided on solid-state LiDAR (Light Detection and Ranging) sensors and computer vision tech from startup INNOVIZ to enable its Level 3 – 5 autonomous vehicles to “see” their surroundings. Innoviz and Magna to Supply Solid-State LiDAR to the BMW Group

INNOVIZPRO delivers high angular resolution at a high frame rate for unrivaled scanning performance. Highly resilient to sunlight and all-weather conditions, InnovizPro’s advanced solid-state technology ensures high durability and long-life expectancy.

ROADSTAR.AI is an artificial intelligence startup that specializes in level 4 autonomous driving technologies. It was founded by three engineers who had previously led autonomous driving technologies at Google, Tesla, Apple, Nvidia, and Baidu USA. We focus on providing efficient autonomous driving solutions to future advanced transportation system using unique and robust multi-sensor fusion framework. Roadstar.AI is devoted to creating an intelligent autonomous driving system for safer and more enjoyable travel experience. Roadstar.ai focuses on providing fully autonomous Robo taxi services and level 2 and Level 3 autonomous design solutions.

AutoX.AI disruptive camera-first AI brings self-driving cars out of the lab and into the real world. They believe that autonomous driving should not be a luxury, and they are making it universally available to everyone. AutoX is hiring!

EasyMile EasyMile is one of the leading companies that specialises in autonomous vehicle technology and has a global reach with headquarters in Toulouse (France) and regional offices in Denver (USA), Berlin (Germany), Melbourne (Australia) and Singapore. With more than 100 highly-skilled and passionate employees with expertise in robotics, computer vision and vehicle dynamics, EasyMile supplies smart mobility solutions and autonomous technologies powering driverless vehicles – developing software that enables automation for various transportation platforms, a powerful in-house fleet management solution for autonomous vehicles, and providing smart mobility solutions for transporting passengers or logistics on private sites, urban, suburban or rural areas in diverse environments. EasyMile is one of the leading companies that is taking automation to new heights, designing software for driverless shuttles that are ideal for transporting passengers in various controlled environments, such as private campuses or industrial sites. With AVs, new challenges arise and create needs for new business models, job opportunities, and the technical skills to maintain safety standards.

Check out their EZ10 driverless shuttle, it has already been deployed in 20 countries across Asia-Pacific, Middle-East, North America and Europe.

AUTOLIV is committed to save more lives by staying at the forefront of technology development. Autoliv develops, manufactures and markets protective systems, such as airbags, seatbelts, and steering wheels. Back in December 2017, Autoliv’s Board of Directors decided to spin-off of its Electronics business segment. As of April 2018, it runs as a wholly-owned subsidiary of Autoliv, named VEONEER planned to be independent publicly traded company during the third quarter of 2018.

VEONEER offers state-of-the-art active safety systems, restraint control systems, and brake systems and has the ambition to be a leading system supplier for Advanced Driver Assist Systems (ADAS) and autonomous driving as well as a market leader in automotive safety electronics products. The company signed agreements with NVIDIA, Velodyne and Seeing Machines further fulfilling the goal in developing next generation self-driving technologies.

AURORA works at the intersection of rigorous engineering and applied machine learning to address one of the most challenging, important and interesting opportunities of our generation: “Transforming the way people and goods move”. Aurora spearheaded the self-driving revolution, built cars, led teams and pioneered robotics and machine learning techniques. Self-driving technology is complex and requires both rigorous engineering and innovative machine learning approaches and Aurora claims to have expertise in both.

ARGO.AI has partnered with Ford Motor Company. ARGO has acquired Princeton Lightwave, a company with extensive experience in the development and commercialization of LiDAR sensors. A technology that serves in the commercial mapping and defense industries will help Argo extend the range and resolution needed to achieve self-driving capability in challenging urban environments.

ZENUITY is building modular platforms for complete ADAS and AD systems which can be scaled to vehicles that need to fulfil the latest NCAP requirement at low cost or towards vehicles that need the latest and greatest autonomous driving features. One of their strengths is the capability to deliver a complete software stack that encompasses algorithms for computer vision, sensor fusion, decision making and vehicle control, but also applications that run in the cloud. The combination of scalability and completeness allows for fast application cross vehicle variants and vehicle lines, as reuse of software modules minimizes verification and validation efforts.