Self-driving trucks are emerging as a transformative solution in logistics, promising to reduce the total cost of risk by addressing key industry challenges such as driver shortages and limited hours of service. While fully autonomous rigs are still in early adoption stages, recent advancements include successful real-world testing of cab-less trucks and startups operating without safety drivers. These vehicles leverage advanced sensors like LiDAR, radar, and cameras to achieve 360-degree situational awareness, enabling safer navigation and collision avoidance. Autonomous trucks also benefit from machine learning algorithms and networked data sharing, allowing them to anticipate hazards and optimize routes in real time.

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