LiDAR Engineering for Autonomous Vehicles and Intelligent Transportation: A Practical Handbook for Point Cloud Processing, ADAS Systems, Sensor Fusion, and Autonomous Navigation - Softcover

E. Wynn, Marcus

9798258634658: LiDAR Engineering for Autonomous Vehicles and Intelligent Transportation: A Practical Handbook for Point Cloud Processing, ADAS Systems, Sensor Fusion, and Autonomous Navigation

Softcover

ISBN 13: 9798258634658

Publisher: Independently published, 2026

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The Complete Engineering Handbook for LiDAR Perception, SLAM, and Autonomous Navigation
Are you an engineer, researcher, or technical student who needs to actually build LiDAR perception systems — not just understand what they are? This is the book that fills the gap every autonomous vehicle engineer hits: the point where tutorials end and real engineering begins.
LiDAR is the sensing backbone of every serious autonomous vehicle program on Earth. The Volvo EX90 ships with it from the factory. Waymo, Aurora, and Torc truck fleets run on it. Over 300,000 Chinese electric vehicles with LiDAR entered service in a single year. The global automotive LiDAR market is growing at 50% per year. Engineers who understand it deeply are among the most in-demand technical professionals in the world.
What This Book Covers (15 Complete Chapters)

Time-of-flight physics, laser sources, APD/SPAD detectors, and how to read a LiDAR datasheet
Point cloud data structures, coordinate transforms, and the complete PCL/Open3D preprocessing pipeline
PATCHWORK++ ground segmentation, Euclidean clustering, DBSCAN, and bounding box extraction
PointNet, PointPillars, VoxelNet, CenterPoint — from first principles to OpenPCDet implementation
Kalman filter, Hungarian algorithm, CTRV motion model, and AB3DMOT for multi-object tracking
LOAM, LIO-SAM, KISS-ICP, loop closure, and pose graph optimization for HD mapping
NDT localization, particle filters, GNSS/IMU fusion, and failure detection
BEVFusion, PointPainting, LiDAR-RADAR fusion, and end-to-end latency analysis
AEB, ACC, highway pilot, ISO 26262 ASIL-D, SOTIF, FMVSS 127, and production deployment
Smart intersections, V2I communication, pedestrian conflict detection, and ITS
Rain, fog, snow, solar glare, and crosstalk — physics and mitigation
PCL, Open3D, ROS 2, OpenPCDet, CARLA, Autoware, Foxglove — the complete toolkit
ISO 26262, SOTIF, EU GSR, FMVSS 127, UNECE ALKS R157 — every major regulation
4D LiDAR, silicon photonics, AI-native sensing, and the path to Level 5 autonomy

Why Engineers Choose This Book

150 original diagrams— every concept illustrated with a purpose-built technical figure.
8 review questions per chapter with worked examples and numerical solutions.
Complete equation reference— every key formula derived and applied, not just stated.
Production context throughout — Volvo EX90, Mercedes Drive Pilot, Hesai AT128, nuScenes, KITTI, Waymo benchmarks.
ROS 2 code patterns— for every major algorithm stage.
ISO 26262 / SOTIF / FMVSS 127— compliance requirements explained for practicing engineers.

Whether you are a software engineer stepping into perception, an ADAS engineer pushing for algorithm depth, a robotics researcher expanding into automotive, or a student building the career of the future — this is the resource that gets you there.

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