Market overview

Autonomous shuttles are vehicles that navigate autonomously at sub-50km/h speeds along predetermined, learned paths. Because of these characteristics, the shuttle segment is less regulated than the automotive market. Hence, trial deployments are anticipated to ramp up quickly.

Autonomous shuttles provide an attractive, flexible solution to move people around industrial campuses, city centers, or suburban neighborhoods, connecting such areas with main mass transit systems, greatly improving public transportation.

Many companies today are involved in the development of a variety of autonomous shuttle platforms. LiDARs for autonomous shuttles is an emerging yet very active market, with an expected CAGR of more than 50% over the next 5 years.  The sensor combination differs significantly between autonomous shuttle platforms and may include anywhere from 3 to 12 LiDARs.

LiDARs in Autonomous Shuttles

The sensor combination differs significantly between autonomous shuttle platforms. It may include anywhere from 3 to 12 LiDARs, which is generally a combination of mechanical scanning and solid-state LiDARs.

At the core of a typical fully autonomous shuttle lies two essential central processing units (CPUs) that work redundantly in tandem to ensure complete collision avoidance and safety: the main navigation system (robotic) CPU and the security (or safety) CPU.

The main navigation system CPU interfaces with one or a few long-range, high-resolution LiDAR sensors for localization, mapping and collision avoidance. The emergency CPU requires short to mid-range LiDARs to provide collision-avoidance perception in the dead zones close to the vehicle and is used to bring the vehicle to a complete stop when the main navigation system is unable to detect an obstacle or in case of system failure.



Application Note:

LeddarTech Solutions

Many autonomous shuttles today rely on a mechanical-scanning LiDAR sensor that is placed on top of the shuttle, which provides long-range detection and 360 degrees of coverage. However, the position of this mechanical-scanning LiDAR sensor creates a significant dead zone around the entire vehicle where objects or people cannot be detected.

Hence, many autonomous shuttle developers turn to solid-state Flash LiDARs to eliminate this critical detection dead zone. Flash LiDARs such as the new Leddar Pixell Cocoon LiDAR provide highly reliable detection at a much higher mean-time-between-failures (MTBFs) than mechanical scanning LiDARs as well as offer 100% light density and complete coverage of the field of view. To ensure that all dead zones are covered, various combinations of 2D or 3D flash LiDARs can be implemented.

Related Information

New Product:
Leddar Pixell Cocoon LiDAR

Introducing Leddar Pixell, the 3D solid-state LiDAR enabling detection cocoons in autonomous shuttles, ADVs, commercial vehicles and robotaxis, providing dependable detection as well as exceptional durability.

View Platform page

Leddar M16 Modules

These low-cost, robust 2D solid-state LiDAR modules represent the perfect solution to develop 360-degree detection cocoons for autonomous shuttle projects.

View product page
Eliminating Autonomous Shuttle Dead Zones with Cocoon LiDARs

In this application note, learn how autonomous shuttles rely on 3D Flash LiDAR technology in collision avoidance systems to eliminate dead zones around the vehicle and protect vulnerable road users.

Read the app note