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Rationale-aware Autonomous Driving Policy utilizing Safety Force Field implemented on CARLA Simulator
Despite the rapid improvement of autonomous driving technology in recent years, automotive manufacturers must resolve liability issues to commercialize autonomous passenger car of SAE J3016 Level 3 or higher.
A Survey on Deep Reinforcement Learning-based Approaches for Adaptation and Generalization
Deep Reinforcement Learning (DRL) aims to create intelligent agents that can learn to solve complex problems efficiently in a real-world environment.
Self-Driving like a Human driver instead of a Robocar: Personalized comfortable driving experience for autonomous vehicles
Moreover, we propose a vehicle controller based on control parameters enabling integrated lateral and longitudinal control via preference-aware maneuvering of autonomous vehicles.
TMA: Tera-MACs/W Neural Hardware Inference Accelerator with a Multiplier-less Massive Parallel Processor
The key figure of merit in hardware inference accelerators is the number of multiply-and-accumulation operations per watt (MACs/W), where, the state-of-the-arts MACs/W remains several hundreds Giga-MACs/W.
Distributed, Parallel, and Cluster Computing Hardware Architecture Signal Processing
