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Seevia Drive

Autonomous driving integrated into the vehicle: our own perception, localisation, navigation and safety, with camera and LiDAR fusion, on different types of vehicle.

sv auto perception

How it works

CAD study

Design of the sensor configuration on the real 3D CAD.

Sensor simulation

Validation of the configuration before assembly.

Perception

2D/3D detection and classification and multi-object tracking.

Localisation and navigation

Precise positioning and planning to drive autonomously.

Autonomous shuttle in private areas

Goal

Autonomous vehicle running routes in closed traffic. Providing the system with obstacle perception and its own localisation.

Licensed integration of Seevia's perception and localisation stack

What was integrated

2D detection of frontal objects, 3D detection and tracking, and LiDAR + GNSS localisation.

3 cameras
4 LiDAR
1 GNSS + IMU

Components

Sensor design

Configuration designed on the vehicle's real 3D CAD, with calibration and synchronisation.

Camera + LiDAR

In-house, sensor-agnostic perception based on camera and LiDAR fusion.

Localisation

LiDAR + GNSS/IMU and automated HD map generation.

Safety

Safety functions (ASIL-B) and supervision on automotive ECUs.

Specifications

Modules

Stack

Perception, localisation, navigation and safety.

Perception

2D/3D detection, multi-object tracking, camera + LiDAR fusion.

Maps

Automated generation of HD maps.

Sensors

Design

Custom design of on-board sensors using the real 3D CAD, calibration and synchronisation.

Sensor-agnostic

The sensor set can change without rebuilding the perception layer.

Platforms

Compatible

Suitable for multiple mobile platforms: L7e, shuttles, cars and buses.

Safety

Functions

Development of safety functions (ASIL-B) and supervision on automotive ECUs.

Service model

Options

Licensed integration, engineering projects, pilots and proofs of concept.

Get in touch

Write to us and let's talk.