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Lidar sensors at CES 2022

Adverse weather conditions such as rain, fog and dust, as well as some (occasional) LiDAR hardware fault may cause the LiDAR to produce pointcloud with abnormal patterns such as scattered noise points and uncommon intensity values. ...Therefore, the method is scalable and can be quickly deployed either online to improve the autonomy safety by monitoring anomalies in the LiDAR data or offline to perform in-depth study of the LiDAR behavior over large amount of data. ...LiDAR sensors play an important role in the perception stack of modern autonomous driving systems. Adverse weather conditions such as rain, fog and dust, as well as some (occasional) LiDAR hardware fault may cause the LiDAR to produce pointcloud with abnormal patterns such as scattered noise points and uncommon intensity values.

This paper aims to elucidate the development and validation of a phenomenological LIDAR sensor model, as well as its utilization in the development of sensor fusion algorithms. By leveraging this approach, researchers can effectively simulate sensor behavior, facilitate faster development cycles, and enhance algorithmic advancements in autonomous systems.

Based on the map a state estimator is proposed, which combines high-frequency LiDAR odometry based on FAST-LIO with low-frequency absolute multiscale ICP-based LiDAR position estimation. ...To facilitate its integration into the remaining localization system an error-state Kalman filter is presented, providing adequate measurement covariances for the LiDAR solution. For the fusion of LiDAR- and GNSS-based position estimates the alignment between reported and real measurement uncertainties is crucial. ...Addressing this challenge, this paper details the enhancement of a localization system for autonomous public transport vehicles, focusing on mitigating GNSS errors through the integration of a LiDAR sensor. The approach involves creating a 3D map using the factor graph-based LIO-SAM algorithm based on GNSS, vehicle odometry, IMU and LiDAR data.

This contribution deals with the development of a new scanning time-of-flight Lidar device for automotive use. Originally designed for safety applications, it provides a horizontal field of view of up to 170°. ...A detection range of up to 170 m enables tasks such as Full Speed Range ACC (FSRA), thanks to its technology based on a production proven IDIS® 1.0 circuit with Multibeam Lidar. A brushless DC Motor and a small momentum of inertia ensure the precision and sturdiness required for automotive applications.

Next generation sensors, such as advanced 3D lidar, will increase AMRs’ abilities to monitor and respond to their changing surroundings in both indoor and outdoor applications. ...With these requirements in mind, we can clearly recognize the benefits of integrating advanced 3D lidar technology in a range of AMR applications.

As for LiDAR SLAM system, it faces great challenges in scenarios where there are repetitive and sparse features. ...This paper proposes a construction method of LiDAR anchor constraints to improve the robustness of the SLAM system in the above challenging environment.

Light detection and ranging (LiDAR) has become an essential technique for HD map construction, environmental perception, localization, and other ICV tasks due to its advantage of high scanning accuracy and dense point cloud generation.

The main research content of this paper is to design a positioning algorithm for unmanned terminal Automated Guided Vehicle (AGV) based on single-line lidar, including point cloud data acquisition, background filtering, point cloud clustering, vehicle position extraction, and result optimization.

A multimodal infrastructure sensor setup, comprising a high-density, 128-channel LiDAR and a 720p RGB camera, was employed to collect data during the dusk period, with the objective of capturing data during the transition from daylight to night. ...In this study, we present and empirically assess the benefits of high-density LiDAR in low-light and dark conditions—a persistent challenge in VRU detection when compared to traditional RGB traffic cameras. ...Robust detection and tracking algorithms were utilized for analyzing VRU-to-vehicle and vehicle-to-vehicle interactions using the LiDAR data. The analysis explores the effectiveness of two DA metrics based on the i.e. Post Encroachment Time (PET) and Minimum Distance Safety Envelope (MDSE) formulations in identifying potentially unsafe scenarios for VRUs at the Tempe intersection.

Lidar technologies provide immediate and accurate free-space detection and excellent object detection and localization. ...As a result, a driver-assistance system designed with a high-performance, forward-looking lidar (FLL) sensor would greatly improve vehicle performance and safety. The third installment of this multipart series provides practical insight into the use of lidar technology as the cornerstone of a real-world advanced driver-assistance system. ...The third installment of this multipart series provides practical insight into the use of lidar technology as the cornerstone of a real-world advanced driver-assistance system.

Automakers have invested heavily in developing advanced driver-assistance technologies to make driving more comfortable and safe. The most advanced of these systems are already offered as vehicle features that satisfy Level 2 automated driving as defined by SAE International in SAE J 3016-2018 Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles and incorporate capabilities, such as Lane Keep Assist (LKA), Adaptive Cruise Control (ACC), and Automatic Emergency Braking (AEB). These features can intervene in certain driving scenarios to control the vehicle’s movement; yet, to ensure safe operation, the driver must remain attentive and focused on the driving environment.

LiDAR and camera fusion have emerged as a promising approach for improving place recognition in robotics and autonomous vehicles. ...In this paper, we propose a Cross- Modality Module (CMM) to leverage the potential correlation of LiDAR and camera features for place recognition. Besides, to fully exploit potential of each modality, we propose a Local-Global Fusion Module to supplement global coarse-grained features with local fine-grained features. ...The experiment results on public datasets demonstrate that our approach effectively improves the average recall by 2.3%, reaching 98.7%, compared with simply stacking of LiDAR and camera.

This version of the document only includes the recommended bicyclist mannequin characteristics for vision, Lidar, and/or 76 to 78 GHz radar-based Bicyclist Pre-Collision systems.

Camera and LiDAR are widely equipped on autonomous self-driving cars and developed with many algorithms in recent years. ...The fusion system of camera and LiDAR provides state-of the-art methods for environmental perception due to the defects of single vehicular sensor. ...In this paper, we assemble a test platform which is made up of dual LiDARs and one monocular camera and use the same sensing hardware architecture as intelligent sweeper designed by our laboratory.

Light detection and ranging (LiDAR) is an emerging technology in image segmentation that is able to estimate distances to the objects it detects. ...One advantage of LiDAR is the ability to gather accurate distances regardless of day, night, shadows, or glare. This study examines LiDAR and camera image segmentation fusion to improve an advanced driver-assistance systems (ADAS) algorithm for off-road autonomous military vehicles. ...This study examines LiDAR and camera image segmentation fusion to improve an advanced driver-assistance systems (ADAS) algorithm for off-road autonomous military vehicles.

This method utilizes physics-based simulation of sensors, along with automated truth labeling, to improve the speed and accuracy of training data acquisition for both camera and LIDAR sensors. This framework is enabled by the MSU Autonomous Vehicle Simulator (MAVS), a physics-based sensor simulator for ground vehicle robotics that includes high-fidelity simulations of LIDAR, cameras, and other sensors. ...This framework is enabled by the MSU Autonomous Vehicle Simulator (MAVS), a physics-based sensor simulator for ground vehicle robotics that includes high-fidelity simulations of LIDAR, cameras, and other sensors.

Research programs are discussed that concern the nature and causes of clear-air turbulence; the practical identification of turbulent regions by computer analysis of ordinary radiosonde measurements of winds, temperature, and pressure; the use of satellite photographs of clouds in turbulence analysis; determination of the climatology of clear-air turbulence; and possible detection of layers that contain turbulence by means of lidar observations.

The bi-directional bonus for EVs Bi-directional charging is a value-added feature that seems certain to help accelerate EV adoption. Lidar tech illuminates CES 2022 Lidar suppliers tout increased perception, smaller form factors and mass-production capabilities as the sensors begin moving to mainstream applications. ...Editorial Optimizing EV platforms for pickup trucks Supplier Eye Time to turn 'BEV' into a verb Valeo debuts new lidars, EV tech at CES 2022 Hyundai enters the metaverse via its PnD technology GM unveils 2024 Chevrolet Silverado EV Barra promises $30K EV SUV by fall 2023; automated driving by mid-decade Panasonic augments driver safety with new HUD tech Unique Helmholtz induction for new GM LT6 V8 Q&A Uwe Gackstatter, president of the Powertrain Solutions Division at Robert Bosch, on why markets will decide propulsion-tech mix - and ICE development can't cease.

Editorial As autonomy and mobility merge LiDAR Giant 100 competitors want to eat his lunch, but Velodyne president Mike Jellen aims to maintain leadership in this fast-moving, trillion-dollar technology space. ...Screen Glare be Gone A new atmospheric optical bonding process ensures the "smart surfaces" in AV cabins have significantly-reduced glare and greater clarity-all with improved durability. For Lidar, MEMS the Word Tiny gimballed mirrors on chips are being developed that could improve the form factor and cost of automotive lidar. ...For Lidar, MEMS the Word Tiny gimballed mirrors on chips are being developed that could improve the form factor and cost of automotive lidar. Scooter, Scat? Some see nuisance and infrastructure pressures, but dockless electric scooters and other small rideshare vehicles probably are too useful to be regulated away.