SOTAVerified

Autonomous Driving

Autonomous driving is the task of driving a vehicle without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

(Image credit: Exploring the Limitations of Behavior Cloning for Autonomous Driving)

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3201–3250 of 6092 papers

TitleStatusHype
Reconfigurable Holographic Surface Aided Wireless Simultaneous Localization and Mapping—0
Transferable Learned Image Compression-Resistant Adversarial Perturbations—0
DistFormer: Enhancing Local and Global Features for Monocular Per-Object Distance EstimationCode0
Uncovering the human motion pattern: Pattern Memory-based Diffusion Model for Trajectory Prediction—0
3D Open-Vocabulary Panoptic Segmentation with 2D-3D Vision-Language Distillation—0
OptFlow: Fast Optimization-based Scene Flow Estimation without Supervision—0
Collaborative Perception for Connected and Autonomous Driving: Challenges, Possible Solutions and Opportunities—0
Temporal Adaptive RGBT Tracking with Modality Prompt—0
BEV-TSR: Text-Scene Retrieval in BEV Space for Autonomous Driving—0
Backdoor Defense via Test-Time Detecting and Repairing—0
Continual Learning for Motion Prediction Model via Meta-Representation Learning and Optimal Memory Buffer Retention Strategy—0
Uncertainty-Guided Never-Ending Learning to Drive—0
Socially Compliant Control of Autonomous Vehicles with Application to Eco-Driving—0
Density-Adaptive Model Based on Motif Matrix for Multi-Agent Trajectory Prediction—0
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous and Instruction-guided Driving—0
CaDeT: a Causal Disentanglement Approach for Robust Trajectory Prediction in Autonomous Driving—0
PaReNeRF: Toward Fast Large-scale Dynamic NeRF with Patch-based Reference—0
Motion Diversification Networks—0
Feedback-Guided Autonomous Driving—0
MSU-4S - The Michigan State University Four Seasons Dataset—0
PARA-Drive: Parallelized Architecture for Real-time Autonomous Driving—0
SAFE-SIM: Safety-Critical Closed-Loop Traffic Simulation with Diffusion-Controllable Adversaries—0
RainSD: Rain Style Diversification Module for Image Synthesis Enhancement using Feature-Level Style Distribution—0
WoodScape Motion Segmentation for Autonomous Driving -- CVPR 2023 OmniCV Workshop Challenge—0
Generative AI-driven Semantic Communication Networks: Architecture, Technologies and Applications—0
SSL-OTA: Unveiling Backdoor Threats in Self-Supervised Learning for Object Detection—0
LLM-Assist: Enhancing Closed-Loop Planning with Language-Based Reasoning—0
DOEPatch: Dynamically Optimized Ensemble Model for Adversarial Patches Generation—0
Fast Quantum Convolutional Neural Networks for Low-Complexity Object Detection in Autonomous Driving Applications—0
Risk-anticipatory autonomous driving strategies considering vehicles' weights, based on hierarchical deep reinforcement learning—0
LIP-Loc: LiDAR Image Pretraining for Cross-Modal Localization—0
End-To-End Planning of Autonomous Driving in Industry and Academia: 2022-2023—0
Adaptive Kalman-based hybrid car following strategy using TD3 and CACC—0
Attention-aware Social Graph Transformer Networks for Stochastic Trajectory Prediction—0
A Survey on Open-Set Image Recognition—0
Pre-trained Trojan Attacks for Visual Recognition—0
Scaling Is All You Need: Autonomous Driving with JAX-Accelerated Reinforcement Learning—0
OKGR: Occluded Keypoint Generation and Refinement for 3D Object DetectionCode0
TimePillars: Temporally-Recurrent 3D LiDAR Object Detection—0
Lift-Attend-Splat: Bird's-eye-view camera-lidar fusion using transformers—0
Explainable Multi-Camera 3D Object Detection with Transformer-Based Saliency Maps—0
Building Lane-Level Maps from Aerial ImagesCode0
Optimizing Ego Vehicle Trajectory Prediction: The Graph Enhancement Approach—0
TADAP: Trajectory-Aided Drivable area Auto-labeling with Pre-trained self-supervised features in winter driving conditions—0
AccidentGPT: Accident Analysis and Prevention from V2X Environmental Perception with Multi-modal Large Model—0
PointeNet: A Lightweight Framework for Effective and Efficient Point Cloud Analysis—0
PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation—0
An empirical study of testing machine learning in the wild—0
First qualitative observations on deep learning vision model YOLO and DETR for automated driving in Austria—0
Multi-Correlation Siamese Transformer Network with Dense Connection for 3D Single Object TrackingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95—Unverified
2InterFuserDriving Score76.18—Unverified
3TCPDriving Score75.14—Unverified
4TF++ WPDriving Score66.32—Unverified
5Learning From All Vehicles (LAV)Driving Score61.85—Unverified
6TransFuserDriving Score61.18—Unverified
7TransFuser (Reproduced)Driving Score55.04—Unverified
8TCP (Reproduced)Driving Score47.91—Unverified
9Latent TransFuserDriving Score45.2—Unverified
10GRIADDriving Score36.79—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17—Unverified
2TransFuserRC56.36—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91—Unverified
2TransFuserRC78.41—Unverified