LiDAR enhancements improves ADAS

| Transport

New 4D LiDAR technology provides improvements in ADAS and vehicle autonomy

4D LiDAR technology is providing safety critical benefits for advanced assisted driving and autonomous vehicles

Aeva is demonstrating its latest 4D LiDAR technology for the automotive industry with the Aeries II sensor and 4D LiDAR-on-chip technology.

This latest sensing and perception technology is used for a range of automotive applications including Advanced Driver Assist Systems (ADAS) and autonomous vehicles.

The 4D LiDAR device uses Frequency Modulated Continuous Wave (FMCW) technology to directly detect the instant velocity of each point in addition to precise 3D position. Aeva’s FMCW technology is inherently free from interference from direct sunlight and other LiDAR sensors while also eliminating retroreflector blooming and ghosting. Using the additional dimension of velocity data, Aeva sensors provide advantages over conventional time of flight 3D LiDAR sensors including:

* Long Range Performance to detect, classify and track dynamic objects such as vehicles, cyclists and pedestrians at long distances.

* Ultra Resolution using a real-time camera-level image that provides up to 20 times the resolution of legacy time of flight LiDAR sensors.

* Road Hazard Detection, which is able to spot small objects on the roadway with greater confidence at up to twice the distance of conventional LiDAR sensors.

* 4D Localisation to estimate vehicle motion in real-time with six degrees of freedom for accurate positioning and navigation without the need for additional sensors, like IMU or GPS.

Aeries II is the first sensor on the market to integrate Aeva’s LiDAR-on-chip technology. It integrates all key sensor components including transmitters, receivers and optics onto a compact silicon photonics module. This design uses no fibre optics, resulting in a highly automated manufacturing process that allows Aeva to manufacture at scale and lower costs to meet the needs of automotive OEMs and other volume customers.

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