AI Autonomous Driving for Passenger Vehicles
L3/L4 self-driving capabilities for OEMs and Tier-1 automotive suppliers
Home > AI Autonomous Driving Solutions for Passenger Vehicles
L3 Autonomous Driving Solution for Passenger Vehicles
Imagry has created an HD-mapless driving system that allows OEM and Tier-1 automotive suppliers to enable L3 autonomous driving in the passenger vehicles they manufacture.
Our technology is hardware-agnostic, self-sufficient, and uses hi-res cameras (but can also be integrated with other types of sensors, including LiDAR and RADAR). In contrast to conventional autonomous driving systems, it does not require cost-intensive infrastructure adjustments and expenditure for big data transfer for uploading and downloading.
Passenger Cars
Autonomous Vehicles
Various applications can be enabled individually based on the use case desired by the manufacturer or end customer, such as:
The vehicle can autonomously maneuver in a city and automatically slow down and speed up to keep pace in slow moving, dense
traffic jams.
The vehicle can think and behave like an attentive human driver, always keeping the passengers within a safety envelope. This function mandates that all traffic regulations (maximum speed, lights, signs) are respected. It is particularly relevant for young/elderly drivers, and interesting for insurance companies
Parking Spot
Detection (PSD)
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Enables the vehicle to drive autonomously and note valid parking spots, on the street and in open and covered parking lots. It works in conjunction with pre-existing park assist functionality, or as part of a completely integrated Imagry parking solution.
Urban Parking
Automation
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Introducing motion planning technology to supplement PSD capability for a complete parking solution. The vehicle can identify open parking spots on the street and in garages and then execute the parking maneuver.
Summary of Imagry’s core competencies for autonomous driving in passenger vehicles:
HD-mapless driving, allowing vehicles to drive on public roads as well as offroad, location independent for all practical purposes
Hardware agnostic
(both computing and sensors)
A proprietary set of annotation tools, enabling us to train our neural networks better and faster with supervised learning techniques
Does not require RADAR or LiDAR
(but can integrate with them if needed for the requested use-case)
Strong machine learning, AI, and image recognition IP, resulting in a software stack that mimics true human driving as proven in numerous urban driving scenarios across multiple cities, continents, and vehicles
Autonomous driving experience on public roads since 2019 (currently operating in U.S., Germany, Japan, and Israel)
