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 2476–2500 of 6092 papers

TitleStatusHype
RGB and LiDAR fusion based 3D Semantic Segmentation for Autonomous Driving—0
Echo Planning for Autonomous Driving: From Current Observations to Future Trajectories and Back—0
ECG-EmotionNet: Nested Mixture of Expert (NMoE) Adaptation of ECG-Foundation Model for Driver Emotion Recognition—0
BoostRad: Enhancing Object Detection by Boosting Radar Reflections—0
Boosting the Transferability of Adversarial Samples via Attention—0
Easy-Poly: A Easy Polyhedral Framework For 3D Multi-Object Tracking—0
An Embarrassingly Pragmatic Introduction to Vision-based Autonomous Robots—0
Adaptive Decision Making at the Intersection for Autonomous Vehicles Based on Skill Discovery—0
EAN-MapNet: Efficient Vectorized HD Map Construction with Anchor Neighborhoods—0
EANet: Expert Attention Network for Online Trajectory Prediction—0
Boosting Online 3D Multi-Object Tracking through Camera-Radar Cross Check—0
DyTTP: Trajectory Prediction with Normalization-Free Transformers—0
DySS: Dynamic Queries and State-Space Learning for Efficient 3D Object Detection from Multi-Camera Videos—0
Boosting Offline Reinforcement Learning with Action Preference Query—0
An Efficient Transformer for Simultaneous Learning of BEV and Lane Representations in 3D Lane Detection—0
DyRoNet: Dynamic Routing and Low-Rank Adapters for Autonomous Driving Streaming Perception—0
DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models—0
DynOcc: Learning Single-View Depth from Dynamic Occlusion Cues—0
DynaSLAM II: Tightly-Coupled Multi-Object Tracking and SLAM—0
Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills—0
Adaptive Communications in Collaborative Perception with Domain Alignment for Autonomous Driving—0
4Seasons: A Cross-Season Dataset for Multi-Weather SLAM in Autonomous Driving—0
Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems—0
Dynamic Scenario Representation Learning for Motion Forecasting with Heterogeneous Graph Convolutional Recurrent Networks—0
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey—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