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

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Showing 2901–2950 of 6092 papers

TitleStatusHype
Keyhole Imaging: Non-Line-of-Sight Imaging and Tracking of Moving Objects Along a Single Optical Path—0
Key Ingredients of Self-Driving Cars—0
Hierarchical End-to-End Autonomous Driving: Integrating BEV Perception with Deep Reinforcement Learning—0
Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis—0
Cross-Modality Domain Adaptation for Freespace Detection: A Simple yet Effective Baseline—0
Hierarchical Attention Learning of Scene Flow in 3D Point Clouds—0
A Fast and Robust Camera-IMU Online Calibration Method For Localization System—0
KIT MOMA: A Mobile Machines Dataset—0
KLIEP-based Density Ratio Estimation for Semantically Consistent Synthetic to Real Images Adaptation in Urban Traffic Scenes—0
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey—0
Accurate Deep Direct Geo-Localization from Ground Imagery and Phone-Grade GPS—0
Feature Selective Small Object Detection via Knowledge-based Recurrent Attentive Neural Network—0
Knowledge Distillation for Action Anticipation via Label Smoothing—0
Hierarchical and Decoupled BEV Perception Learning Framework for Autonomous Driving—0
Knowledge Graphs as World Models for Semantic Material-Aware Obstacle Handling in Autonomous Vehicles—0
Defensive Perception: Estimation and Monitoring of Neural Network Performance under Deployment—0
Hidden Footprints: Learning Contextual Walkability from 3D Human Trails—0
Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey—0
Cross-Modal Geometric Hierarchy Fusion: An Implicit-Submap Driven Framework for Resilient 3D Place Recognition—0
Hidden Backdoor Attack against Semantic Segmentation Models—0
Cross-Modal Attentional Context Learning for RGB-D Object Detection—0
L2PF -- Learning to Prune Faster—0
L3C-Stereo: Lossless Compression for Stereo Images—0
L3-Net: Towards Learning Based LiDAR Localization for Autonomous Driving—0
Label Anything: An Interpretable, High-Fidelity and Prompt-Free Annotator—0
Learning Sampling Dictionaries for Efficient and Generalizable Robot Motion Planning with Transformers—0
Learning Super-resolved Depth from Active Gated Imaging—0
Learning to Anticipate Egocentric Actions by Imagination—0
Hi-ALPS -- An Experimental Robustness Quantification of Six LiDAR-based Object Detection Systems for Autonomous Driving—0
Labels Are Not Perfect: Improving Probabilistic Object Detection via Label Uncertainty—0
Cross-Modal Analysis of Human Detection for Robotics: An Industrial Case Study—0
HGNET: A Hierarchical Feature Guided Network for Occupancy Flow Field Prediction—0
HGCN-GJS: Hierarchical Graph Convolutional Network with Groupwise Joint Sampling for Trajectory Prediction—0
Cross-Modal 3D Representation with Multi-View Images and Point Clouds—0
Heuristic Optimization of Amplifier Reconfiguration Process for Autonomous Driving Optical Networks—0
Crossfusor: A Cross-Attention Transformer Enhanced Conditional Diffusion Model for Car-Following Trajectory Prediction—0
Heterogeneous Graph-based Trajectory Prediction using Local Map Context and Social Interactions—0
CrossFuse: Learning Infrared and Visible Image Fusion by Cross-Sensor Top-K Vision Alignment and Beyond—0
A Tale of Two Cities: Data and Configuration Variances in Robust Deep Learning—0
Lane Boundary Geometry Extraction from Satellite Imagery—0
Accurate Cooperative Localization Utilizing LiDAR-equipped Roadside Infrastructure for Autonomous Driving—0
Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints—0
3D Multi-Object Tracking with Semi-Supervised GRU-Kalman Filter—0
Cross-Enhancement Transform Two-Stream 3D ConvNets for Action Recognition—0
LaneCorrect: Self-supervised Lane Detection—0
LaneCPP: Continuous 3D Lane Detection using Physical Priors—0
Lane detection with Position Embedding—0
Lane Detection with Versatile AtrousFormer and Local Semantic Guidance—0
Laneformer: Object-aware Row-Column Transformers for Lane Detection—0
HeightFormer: Explicit Height Modeling without Extra Data for Camera-only 3D Object Detection in Bird's Eye View—0
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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