Hesai releases PandarQT, an Ultra-wide FOV LiDAR optimized for blind spot detection

SHANGHAI, Jan. 9, 2020 — (PRNewswire) — Hesai, a global leader in LiDAR sensors, officially unveiled PandarQT at the International Consumer Electronics Show (CES) in Las Vegas on Tuesday, adding to its portfolio of self-driving sensing solutions.

PandarQT is designed to solve several pain points in LiDAR applications.

This 64-channel, ultra-wide FOV LiDAR is the cutting-edge answer to blind spot detection. It features a 104.2° (±52.1°) by 360° ultra-wide Field of View (FOV) which is ideal for vehicle blind spot coverage.

With PandarQT, there is much more than what meets the eye. Apart from its compact and aesthetic design, PandarQT boasts a number of features that contribute to its outstanding performance and reliability. Hesai's unique interference rejection technology prevents interference from nearby working LiDARs and thus lowers the false detection rate; PTP (Precision Time Protocol) time synchronization is supported to greatly simplify cabling on vehicles. As with all Hesai LiDARs, each PandarQT unit is checked for range accuracy, precision, and other specs before shipping.

Point cloud of Pandar64 (left) and PandarQT (right).

Hesai recommends using PandarQT in combination with its flagship product Pandar64. Coupling PandarQT's short-range capability and Pandar64's industry-leading long-range performance ensures an all-around and detailed surveillance of a vehicle's surroundings, near and far.

Blind spot detection: LiDAR's superiority and the call for optimized design

In the past few years, LiDAR companies have been pushing the specs such as range and resolution, and the market is dominated by long-range LiDARs designed as the centerpiece in a sensor suite. Blind spot detection in the close range has been comparatively neglected. Most companies have misused long range LiDARs, by using them as short range LiDARs, they often have to tilt the LiDARs to "see" low objects on the ground near the vehicle and overhanging objects above the mounting location. To top it all, most budgets are tight, and assigning these expensive long-range sensors to handle short range detection is hard to justify.

Comparison contrast of Pandar64 and Concatenation of Point Clouds.

That said, reducing the range and thus the cost is not yet the perfect answer to blind spot detection. Many short-range LiDARs have been released on the market at accessible prices, but very few have considered all the necessary merits of being a blind spot LiDAR – wide vertical field of view, excellent short range performance, wide dynamic intensity range to cover both retro reflectors and low reflectivity targets, and a practical range. PandarQT is the right tool for this job.

The design of PandarQT has all these in mind. Hesai has long been planning and perfecting this product, and after a one-year marathon of engineering and thorough testing, it is fully ready to make its debut. At a reasonable price point and with scenario-optimized performance, PandarQT is on its way to become the next industry standard-setting LiDAR.

Comparison between recognition of close objects for Pandar64 and PandarQT.

2020 – a pivotal year for LiDAR development

The year 2020 is a long-awaited inflection point for autonomous driving. The entire auto industry is transitioning to intelligent electric vehicles, and several countries and regions, among them the United States, the EU, Japan, and China, are accelerating the legislation of self-driving road testing, application and safety assurance.

According to Yole Development, the global LiDAR market will reach 6 billion USD in 2024, of which self-driving applications will account for 70%. Hesai has proved its competitiveness on this massive stage, and will continue to develop premium products that meet the industry's needs, surpass customer expectations, and in the case of PandarQT, fill in the "blind spots" in the market.

Cision View original content to download multimedia: http://www.prnewswire.com/news-releases/hesai-releases-pandarqt-an-ultra-wide-fov-lidar-optimized-for-blind-spot-detection-300984751.html

SOURCE Hesai Technology

Contact:
Company Name: Hesai Technology
Zhao Lei
Phone: +86-159-9561-2581




Review Article Be the first to review this article


Featured Video
Jobs
Dev/Ops Developer for GeoDecisions at O'Fallon, Illinois
GIS Developer for GeoDecisions at Vienna, Virginia
GIS Developer for GeoDecisions at St. Charles, Missouri
Senior Level Developer for GeoDecisions at Raleigh, North Carolina
Senior Software 11 Engineer – MCAD…Valley for EDA Careers at San Jose, California
Ecommerce Account Manager for Bright Atlas LLC at Miami Gardens, Florida
Upcoming Events
NextGen SCADA Global 2020 at Leonardo Royal Hotel Berlin Alexanderplatz, Otto Braun Straße 90, 10249 Berlin Germany - Jan 27 - 31, 2020
DistribuTECH at Henry B. Gonzalez Convention Center Halls 1-4 San Antonio TX - Jan 28 - 30, 2020
CalGIS 2020 at 701 West Ocean Boulevard Long Beach CA - Feb 8 - 12, 2020
CalGIS 2020 at Hilton Long Beach California - Feb 9 - 11, 2020
University of Denver GIS Masters Degree Online



Internet Business Systems © 2020 Internet Business Systems, Inc.
25 North 14th Steet, Suite 710, San Jose, CA 95112
+1 (408) 882-6554 — Contact Us, or visit our other sites:
AECCafe - Architectural Design and Engineering EDACafe - Electronic Design Automation TechJobsCafe - Technical Jobs and Resumes  MCADCafe - Mechanical Design and Engineering ShareCG - Share Computer Graphic (CG) Animation, 3D Art and 3D Models
  Privacy PolicyAdvertise