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 2626–2650 of 6092 papers

TitleStatusHype
Large Language Models for Human-like Autonomous Driving: A Survey—0
FH-DRL: Exponential-Hyperbolic Frontier Heuristics with DRL for accelerated Exploration in Unknown Environments—0
Wolf: Captioning Everything with a World Summarization Framework—0
Sparse Refinement for Efficient High-Resolution Semantic Segmentation—0
Image Segmentation via Divisive Normalization: dealing with environmental diversity—0
Taxonomy-Aware Continual Semantic Segmentation in Hyperbolic Spaces for Open-World Perception—0
TiCoSS: Tightening the Coupling between Semantic Segmentation and Stereo Matching within A Joint Learning Framework—0
CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions—0
Control Informed Design of the IAC Autonomous Racecar for Operation at the Dynamic Envelope—0
Testing Large Language Models on Driving Theory Knowledge and Skills for Connected Autonomous Vehicles—0
LangOcc: Self-Supervised Open Vocabulary Occupancy Estimation via Volume Rendering—0
3D Question Answering for City Scene Understanding—0
Physical Adversarial Attack on Monocular Depth Estimation via Shape-Varying Patches—0
Progressive Query Refinement Framework for Bird's-Eye-View Semantic Segmentation from Surrounding ImagesCode0
Velocity Driven Vision: Asynchronous Sensor Fusion Birds Eye View Models for Autonomous Vehicles—0
Deformable Convolution Based Road Scene Semantic Segmentation of Fisheye Images in Autonomous Driving—0
LiCROcc: Teach Radar for Accurate Semantic Occupancy Prediction using LiDAR and Camera—0
SECRM-2D: RL-Based Efficient and Comfortable Route-Following Autonomous Driving with Analytic Safety Guarantees—0
When, Where, and What? A Novel Benchmark for Accident Anticipation and Localization with Large Language Models—0
Understanding Impacts of Electromagnetic Signal Injection Attacks on Object Detection—0
MILAN: Milli-Annotations for Lidar Semantic Segmentation—0
WTS: A Pedestrian-Centric Traffic Video Dataset for Fine-grained Spatial-Temporal Understanding—0
Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications—0
Flow-guided Motion Prediction with Semantics and Dynamic Occupancy Grid Maps—0
Explore the LiDAR-Camera Dynamic Adjustment Fusion for 3D Object DetectionCode0
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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