Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the automotive industry. This time, you get to discover 5 hand-picked radar solutions impacting automotive companies.
Out of 135, the Global Startup Heat Map highlights 5 Top Radar Solutions impacting Automotive Companies
The insights of this data-driven analysis are derived from the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering 2 093 000+ startups & scaleups globally. The platform gives you an exhaustive overview of emerging technologies & relevant startups within a specific field in just a few clicks.
The Global Startup Heat Map below reveals the distribution of the 135 exemplary startups & scaleups we analyzed for this research. Further, it highlights 5 automotive startups that we hand-picked based on criteria such as founding year, location, funding raised, and more. You get to explore the solutions of these 5 startups & scaleups in this report. For insights on the other 130 radar solutions impacting automotive companies, get in touch.
Spartan Radar enables Biometric Perception
Founding Year: 2020
Location: Los Alamitos, US
Funding: USD 25 M
Partner for Autonomous Vehicles
US-based startup Spartan Radar develops radar technology with enhanced environmental perception capabilities. The startup’s Biometric Radar integrates situational awareness in all scenarios and weather conditions by processing large quantities of data. Moreover, the solution identifies the importance of objects and handles outliers. Current autonomous vehicles use a combination of cameras, lidar, and radar as well as sensor fusion hardware and software for autonomous vehicle operation. However, the collection, combination, and processing of vast amounts of data requires very high computing power and a longer time for processing and executing actions. Spartan Radar overcomes this limitation by improving the range, resolution, and detection of radar sensors for autonomous vehicle applications.
SGR Semiconductors provides Automotive Radar Systems
Founding Year: 2016
Location: Shanghai, China
Collaborate for Automotive Sensors
Chinese startup SGR Semiconductors specializes in the production of millimeter-wave radar chips for the automotive industry. Compared to other environmental perception systems such as lidar or cameras, radar offers a better range and functionality in low visibility conditions. For these reasons, automotive vehicle manufacturers are implementing radar systems in advanced driver assistance systems (ADAS) for autonomous vehicles. The startup manufactures a series of 24 GHz and 77 GHz millimeter-wave radar chips including a 24 GHz radar system-on-chip (SOC) for automotive radar systems. The startup’s radar-based blind spot detection module uses one transmitter and two receivers to enable autonomous vehicle functions even during bad weather conditions.
Microbrain offers Lane Change Assistance
Founding Year: 2017
Location: Changsha, China
Partner for Lane Changing, Traffic Detection
Chinese startup Microbrain manufactures short-range radar sensors for applications in lane change assistance. Long-range radar, although highly useful for autonomous vehicle perception, creates problems for short-range applications such as lane changing due to the high possibility of interfering signals from various objects. Microbrain overcomes this by using short-range radar sensors for their ADAS. The startup’s CAR-B50 product is a millimeter-wave radar that provides early warning of dangerous targets in adjacent lanes. In addition, the sensor provides blind spot detection (BSD), door open warning (DOW), active overtaking alarm (AOA), and rear cross-traffic alerts (RTCA). The startup facilitates these functions to operate in all-weather conditions including smoke, fog, and dust.
Axon Pulse manufactures AI-based Radar Sensors
Founding Year: 2019
Location: Tel Aviv, Israel
Funding: USD 4,6 M
Work with Axon Pulse for Autonomous Radar Systems
Israeli startup Axon Pulse develops radar sensors that utilize deep neural networks for radio frequency (RF) signal processing. Some of the barriers to autonomous vehicles are the size and weight of sensing equipment as well as the computing elements needed to process their data. AI-based radar solutions reduce the amount of hardware required, thereby, reducing the weight of autonomous radar systems. The startup’s AI models optimize the physical layer and signal-processing design, enabling higher levels of optimization when compared to conventional radar. Moreover, AI parallelization allows inference optimization on the edge to perform signal processing.
Sencept provides 4D Radar Sensors
Founding Year: 2018
Location: Stockholm, Sweden
Reach out for Autonomous Vehicle Operations
Swedish startup Sencept develops 4D scanning radar sensors for autonomous vehicle operations. The low lighting conditions along with the constant presence of dust and debris within mines increase the risk of collision between personnel and machines. To avoid collisions and improve the efficiency of operations, Sencept automates mining vehicles using radar sensors. The startup’s radar sensors find application in autonomous mining vehicles by providing reliable and high-resolution radar that reduces downtime and increases productivity. The startup’s 4D imaging radars visualize and classify objects on the road in all types of lighting and weather conditions, including in the dust and darkness of mines.
Discover more Automotive Startups
Automotive startups such as the examples highlighted in this report focus on collision avoidance systems, vehicle connectivity, and crash detection. While all of these technologies play a major role in advancing the automotive industry, they only represent the tip of the iceberg. To explore more automotive technologies, simply get in touch to let us look into your areas of interest. For a more general overview, you can download our free Automotive Innovation Report to save your time and improve strategic decision-making.