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There are 103 companies in the field of Autonomous Vehicles on spotfolio that produce or deliver products, that utilize or research technologies or that are otherwise engaged in topics such as Autonomous, Sensor-Fusion, Autonomous-Vehicles, Vehicles, Sensor, Autonomous-Driving, Driving, ADAS .

Start-ups (45)

Early-stage companies (40)

Established companies (16)

The majority of these companies is located in the following countries.

United States (39)

Israel (18)

China (12)

Germany (8)

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Edge Case Research Edge Case Research, Inc.

early-stage

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approaches to perception metrics. Phil will discuss sensor performance, sensor fusion, classification accuracy, and the ability to track how often the system ...

to safety. Another type of metric deals with sensor fusion. At a high level, success with sensor fusion is whether that fusion strategy can actually detect ...

things you need to see in the environment. But even if it seems like sensor fusion is seeing everything it needs to, there are some underlying safety issues ...

issues to consider. One is measuring correlated failures. If your sensor fusion algorithm assumes that multiple sensors have independent failures, so you’ve ...

So the important thing here is the metric is not about whether your sensor fusion work but rather whether the independence assumption behind your analysis ...

valid or invalid. Another metric to consider related to the area of sensor fusion is whether or not detection ride through based on tracking is covering

IonTerra IonTerra Transportation and Aviation Technologies ltd.

early-stage

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for making autonomous driving a reality. rtCVI™ FUSION The data and sensor fusion process of integrating multiple sensor sources produces more consistent ...

models Read More » More Services WHITE PAPER Raw data and sensor fusion Sensor Fusion, the heart of Autonomous Driving, is a critical process that ...

that compensates for each sensor’s deficiency. When performing Sensor Fusion, using raw data, and not processed data, brings significant advantages that enable ...

detection and cognition systems. Download now Get IonTerra’s Raw Data and Sensor Fusion White Paper Close © 2019 IonTerra - All Rights Reserved

integrates with any sensor type as the source of input. rtCVI™ FUSION Sensor Fusion is the fusion of results from multiple sensors in the Autonomous Vehicle ...

increases the accuracy of object detection. rtCVI™ performs Raw Data & Sensor Fusion, which not only fuses the results from each sensor, but also fuses the ...

unidentified by other software technologies, by performing raw data and sensor fusion, and combining information from each sensor to deliver enhanced detection ...

new essential technology layer that integrates with other detection, sensor fusion and cognition technologies in the Autonomous Vehicle, and produces an

Eatron Technologies Eatron Technologies Ltd

start-up

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Superior Driver Feel ACC - Environment Model Based - Radar and Camera Sensor Fusion - High Tracking Performance on Sharp Corners - Smooth Speed Control based ...

Advanced Control Theory LCC - Environment Model based - Radar and Camera Sensor Fusion - Lane Centring approach to keep the vehicle centred in the lane - Model ...

and mapping algorithm (SLAM) - Static & Dynamic Obstacle Detection - Sensor Fusion & Environment Model - Planning (Global & Local) algorithm for Parking

software features on the road: this short clip shows the testing of the sensor fusion (camera+radar) and ACC function. Privacy Preference Center Privacy

Generalized Intelligence Beijing Fanhuazhineng Technology Co,. LTD.

early-stage

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are enhancing the multi-sensor fusion algorithm to improve system tolerance. What We Will Work On Next Improve multi-sensor fusion algorithm 2. Use voxblox

Uniquesec

early-stage

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which is one of the pioneers in vehicle safety. Her focus was mainly on sensor fusion, accurate positioning and digital map. After Autoliv, she joined Trebax ...

applications. Her experience in radar and sensor fusion was needed at Volvo Cars Corporation. Thus, she continues in sensor fusion group at Volvo. Her experiences ...

signal processing, FPGA/VHDL development, communication, networking, sensor fusion, tracking, digital map and autonomous driving to system integration.

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