A Novel Deep Learning Approach for Multi-Sensor Fusion in Autonomous Vehicle Perception
An effective autonomous driving perception system must function well in real-world settings.
Engineering 5.5 · Research 8.0 · Business 5.5
Autonomous Driving Papers with Code, Datasets and Engineering Notes
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.
YOLO-Based Depth Estimation from Monocular Camera Images for Object Detection at Sea
An autonomous driving research paper: YOLO-Based Depth Estimation from Monocular Camera Images for Object Detection at Sea.
Engineering 5.0 · Research 7.0 · Business 5.0
AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning
In this paper, we propose AutoVLA, a novel VLA model that unifies reasoning and action generation within a single autoregressive generation model for end-to-end autonomous driving.
Engineering 6.5 · Research 8.0 · Business 6.5
QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction
To address this, we propose to use geometrically expressive superquadrics as scene primitives, enabling efficient representation of complex structures with fewer primitives through their inherent shape diversity.
Engineering 6.0 · Research 8.0 · Business 5.5
ReSim: Reliable World Simulation for Autonomous Driving
To close the gap between high-fidelity simulation and applications that require reward signals to judge different actions, we introduce a Video2Reward module that estimates a reward from ReSim's simulated future.
Engineering 5.5 · Research 7.0 · Business 5.5
ODG: Occupancy Prediction Using Dual Gaussians
In this paper, we present ODG, a hierarchical dual sparse Gaussian representation to effectively capture complex scene dynamics.
Engineering 5.5 · Research 8.0 · Business 6.0
Towards Feature Compression of LiDAR Point Cloud for 3D Object Detection
Given that current LiDAR sensing applications typically convert point clouds into 2D Bird’s Eye View (BEV) representations for real-time, high-precision sensing, this paper proposes a novel LiDAR point cloud compression framework specifically designed for 3D object detection.
Engineering 5.0 · Research 8.0 · Business 5.0
SDGOCC: Semantic and Depth-Guided Bird’s-Eye View Transformation for 3D Multimodal Occupancy Prediction
Therefore, we propose a novel multimodal occupancy prediction network called SDG-OCC, which incorporates a joint semantic and depth-guided view transformation coupled with a fusion-to-occupancy-driven active distillation.
Engineering 7.0 · Research 8.0 · Business 5.0
Research on Transformer Models for End-to-End Control in Autonomous Driving
To overcome these limitations, this paper proposes a Transformer-based end-to-end control model for autonomous driving.
Engineering 6.0 · Research 8.0 · Business 5.5
ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving
In this paper, we propose ReCogDrive, a novel Reinforced Cognitive framework for end-to-end autonomous Driving, unifying driving understanding and planning by integrating an autoregressive model with a diffusion planner.
Engineering 5.5 · Research 8.0 · Business 5.0
Robust sensor fusion against on-vehicle sensor staleness
Our method is integrated into a perspective-view detection model that consumes sensor data from multiple LiDARs, radars and cameras.
Engineering 5.0 · Research 8.0 · Business 5.0
Autonomous Driving Decision Model based on Reinforcement Learning Algorithm in the Environment of Intelligent Connected Vehicles
With the rapid development of autonomous driving technology, how to achieve safe, efficient and comfortable vehicle autonomous decision-making in complex traffic environments has become a key challenge.
Engineering 5.0 · Research 7.0 · Business 5.0
Pseudo-Simulation for Autonomous Driving
In this paper, we propose pseudo-simulation, a novel paradigm that addresses these limitations.
Engineering 7.0 · Research 8.0 · Business 5.5
BEVCALIB: LiDAR-Camera Calibration via Geometry-Guided Bird's-Eye View Representations
In this paper, we propose the first model that uses bird's-eye view (BEV) features to perform LiDAR camera calibration from raw data, termed BEVCALIB.
Engineering 7.0 · Research 8.0 · Business 5.0
Poster: A V2X-Enhanced 360-Degree 4D Perception for Occlusion-Free Autonomous Driving
To overcome this limitation, we propose V2X-BEVDet4D, a cooperative perception framework built on BEVDet4D.
Engineering 5.5 · Research 7.0 · Business 5.0
Multi-intersection platoon ecological speed planning strategy and method for autonomous driving simulation testing
An autonomous driving research paper: Multi-intersection platoon ecological speed planning strategy and method for autonomous driving simulation testing.
Engineering 5.0 · Research 7.0 · Business 5.0
Design and implementation of a self-driving car using deep reinforcement learning: A comprehensive study
An autonomous driving research paper: Design and implementation of a self-driving car using deep reinforcement learning: A comprehensive study.
Engineering 5.0 · Research 7.0 · Business 5.0
Integrated Detection of Traffic Signs and Lane Changes Using Deep Learning for Autonomous Driving Systems
Abstract: This research presents a modular deep learning- based pipeline designed to integrate traffic sign detection, lane segmentation, and lane change prediction for autonomous driv- ing.
Engineering 5.0 · Research 7.0 · Business 5.5
Using Ensemble Diffusion to Estimate Uncertainty for End-to-End Autonomous Driving
In this paper, we propose EnDfuser, an end-to-end driving system that uses a diffusion model as the trajectory planner.
End-to-End Autonomous DrivingPath PlanningLiDAR PerceptionSensor FusionAutonomous Driving Simulation
Engineering 5.5 · Research 7.0 · Business 5.0
Enhancing Autonomous Driving Perception: A Practical Approach to Event-Based Object Detection in CARLA and ROS
Additionally, we developed a real-time object detection pipeline optimized for event-based data, integrating it into the CARLA simulation environment and ROS for system prototyping.
Engineering 5.5 · Research 7.0 · Business 6.5