General Introduces Precision into the Autonomous Vehicle Market

Naomi Dureau/Interesting Engineering

Feeding into the trends of CES 2018, demonstrated their take on the coming connected and driver free future. The ability to collect a massive amount of data from the surrounding area in real time as well as utilize deep learning to maximize decisions is a crucial component of the autonomous future. showcased the start-up's aim to become a force in the competitive landscape of driverless vehicles.

Who is

Automotive companies, consumer electronics companies, and upcoming tech start-ups are eager to participate in the autonomous future. An idea that was more of a novelty or a cool way to demonstrate conceptual tech has become a full-on possibility. Companies eager to invest resources and capital in creating vehicles that will not only drive you safely from A to B but also create an unmatched comfortable experience.

Before you step into the world of comfort, the artificial intelligence technology has to be perfect. This is where comes into the market. The start-up company focuses their resources on creating some of the highest level autonomous vehicle tech available.

For the uninitiated, ADAS systems exist on different levels. A level 1 autonomous vehicle may have very little self-driving capabilities, requiring a driver to operate the vehicle, while at level 5 the automobile can be completely driverless. As seen at CES, the Roadstar team focuses their energy and talents on Autonomy Level 4 technologies and application.

Roadstar.AI provides an autonomous driving solution based on the power of multisensor fusion. "We focus on providing efficient autonomous driving solutions to address advanced transportation and logistics problems using unique and robust multi-sensor fusion framework," says the team.

The team has an impressive roster of talent that includes engineers who have worked on autonomous driving tech at companies like Google, Tesla, Apple, Nvidia, and Baidu USA.

The team's multi-sensor fusion adopts "the use" of sensors like millimeter wave radars, GPS, LiDARS, and GPS to perform "high precision measurement and perception."

These tools create an algorithm to produce 8-dimensional data that is spatiotemporally-synced on a high accuracy level. Their technology offers safe and powerful driverless solutions for commercial use and consumer vehicles. Currently, the team is focused on "on providing autonomous limousine services, and on the other hand, providing technical consultation and designing solutions to meet different scenarios and requirements in the automotive market."

It will be exciting to see what other autonomous technology the company will unveil in the coming months.

Watch the video: How Does Tesla Autopilot Work? Computer Vision VS. Lidar Waymo - Tesla Accidents - AP3 VS. (September 2021).