Recent Advances in LiDAR Sensing Technology for Autonomous Vehicles
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 15 June 2025 | Viewed by 1531
Special Issue Editor
Interests: computer architecture; cyber-physical systems; embedded system; hardware description language; FPGA; ASIP; programmable logic controllers; ADAS; AGV; data fusion; predictive maintenance
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Special Issue Information
Dear Colleagues,
LiDAR (light detection and ranging) technology is a method of determining the distance, angle, and reflection of light. This is achieved by pointing a laser at an object or surface and measuring the time taken for the reflected light to return to the receiver.
This technology is employed extensively for the purpose of high-resolution mapping, with applications in a number of fields including surveying, geography, geology, seismology, forestry, simultaneous localisation and mapping (SLAM), airborne laser mapping (ALSM), and laser altimetry. The LiDAR system is capable of measuring the distance to, angle of, and reflection of a target, as well as enabling obstacle avoidance, laser guidance, and the provision of solutions for autonomous guided vehicles (AGVs), unmanned aerial vehicles (UAVs), communications, and industry and military applications. LiDAR represents a pivotal enabling technology for autonomous vehicle operation, furnishing real-time perception data that enable autonomous vehicles to operate with reliability and safety at high speeds. The technology is now a standard feature of new vehicles and is frequently utilised in advanced driver assistance systems (ADASs). The quality of the LiDAR data fed into the system has a direct impact on the quality of autonomous decision-making. It is of significant importance to ensure the provision of accurate environmental information, particularly when undertaking precise docking or parking manoeuvres. It is therefore imperative to develop novel and enhanced methodologies for object recognition, tracking, and identification in order to facilitate the advancement of autonomous solutions based on LiDAR technology.
The objective of this Special Issue is to present and discuss recent advances in LiDAR sensor technology as they pertain to AGV and ADAS solutions. The focus is on developments in the fields of localisation, positioning, object recognition, tracking, and identification, with a particular emphasis on the use of sensors, fusion, data mining, and artificial intelligence.
We encourage contributions containing original research, developments, and experimental results within, but not limited, to the following topics:
- LiDAR sensors;
- 2D LiDAR;
- 3D LiDAR;
- Localisation systems;
- Positioning systems;
- Object recognition
- Object identification
- Object tracking
- Precise distance measurements methods;
- Communications;
- Sensors fusion;
- Data mining;
- Artificial intelligence.
Dr. Adam Ziębiński
Guest Editor
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Keywords
- LiDAR sensors
- 2D LiDAR
- 3D LiDAR
- localisation systems
- positioning systems
- object recognition object identification
- object tracking
- precise distance measurements methods
- communications
- sensors fusion
- data mining
- artificial intelligence
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