Browse curated autonomous driving papers on end-to-end driving, BEV perception, 3D object detection, motion prediction, path planning, ADAS, Tesla FSD, Waymo, and self-driving foundation models.
This paper proposes a lightweight hierarchical transformer framework for fully end-to-end autonomous driving in urban environments.
Engineering 5.5 · Research 7.0 · Business 5.0
In addition, we design an Alignment-Aware Fusion Module that performs global alignment between the two modalities via bidirectional dynamic offsets.
Engineering 6.0 · Research 8.0 · Business 5.5
In recent years, intelligent vehicles operating in urban environments have demonstrated the capability to autonomously execute various tasks, such as object detection, lane detection, segmentation, etc.
Engineering 5.0 · Research 7.0 · Business 5.0
To address these limitations, we present nuPlan-R, a new reactive closed-loop planning benchmark that integrates learning-based reactive multi-agent simulation into the nuPlan framework.
Engineering 7.5 · Research 7.0 · Business 5.5
This paper presents Middle-Shortcut Fusion, a novel mid-level multimodal fusion framework that effectively integrates synchronized LiDAR point clouds and RGB images using a two-stream neural architecture with cross-modal residual shortcut pathways.
Engineering 5.5 · Research 8.0 · Business 5.5
In response to the limitat mentioned, this paper proposes a parallel scenario testing method that combines the CARLA simulation platform with the YOLOv8-based detection algorithm.
Engineering 5.0 · Research 7.0 · Business 5.0
An autonomous driving research paper: Deep Learning in Visual Odometry for Autonomous Driving.
Engineering 5.5 · Research 7.0 · Business 5.5
Therefore, in this work, we propose a dual-task extension to LaneATT by integrating an auxiliary segmentation head.
Engineering 5.0 · Research 7.0 · Business 5.0
As autonomous driving systems become more prevalent, ensuring the safety of pedestrians is a critical challenge that must be addressed.
Engineering 6.0 · Research 7.0 · Business 6.5
In this paper, we present a latent feature alignment method to improve absolute depth estimation by reducing this domain gap in the context of endoscopic videos of the central airway.
Engineering 6.5 · Research 8.0 · Business 5.0
This paper presents an embedded system for efficient 3D object detection in robotics and autonomous systems using point cloud data acquired from 3D LiDAR sensors.
Engineering 5.0 · Research 7.0 · Business 5.0
We propose a height-aware evaluation framework for monocular depth estimation (MDE) that leverages the MultiHeightView dataset, combining real and synthetic traffic scenes across multiple viewpoints.
Engineering 5.0 · Research 7.0 · Business 5.0
This paper presents a comprehensive autonomous vehicle system designed specifically for Vietnam’s traffic conditions, featuring a multi-layered approach to perception, decision-making, and control.
Engineering 5.5 · Research 7.0 · Business 5.5
To overcome these limitations, we present an end-to-end reinforcement learning framework that incorporates a data-driven vehicle dynamics prediction model and Lyapunov-based stability constraints.
Engineering 5.5 · Research 7.0 · Business 5.0
We propose R<inline-formula> <tex-math notation="LaTeX">$M^{2}$ </tex-math></inline-formula>Occ, the first 3D occupancy perception network that integrates multi-sensor fusion based on different sensor principles and achieves multi-task learning.
Engineering 5.5 · Research 8.0 · Business 5.0
To further suppress the inherent self-interference (SI) in co-frequency and co-time full-duplex (CCFD) systems, we propose integrating a stacked intelligent metasurface (SIM) into the RF front-end to enhance signal processing in the wave domain.
Engineering 5.5 · Research 7.0 · Business 5.0
We present RT-YOLACT (Real-Time YOLACT), an optimized instance segmentation framework tailored for FPGA-SoC deployment.
Engineering 6.0 · Research 7.0 · Business 6.0
Implementation of autonomous driving requires location recognition, lane detection, and distance information collection of other vehicles.
Engineering 5.0 · Research 7.0 · Business 5.0
This paper proposes an end-to-end learning model that integrates VAE-based multi-source state representation with a PPO optimization framework.
Engineering 5.5 · Research 7.0 · Business 5.0
To address this, we propose MPRF, a Bird's-Eye View (BEV)-based multi-vehicle collaborative perception framework.
Engineering 5.5 · Research 8.0 · Business 5.5