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 5901–5950 of 6092 papers

TitleStatusHype
Feature Selective Small Object Detection via Knowledge-based Recurrent Attentive Neural Network—0
Knowledge Distillation for Action Anticipation via Label Smoothing—0
Knowledge Graphs as World Models for Semantic Material-Aware Obstacle Handling in Autonomous Vehicles—0
Knowledge-Informed Multi-Agent Trajectory Prediction at Signalized Intersections for Infrastructure-to-Everything—0
Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey—0
KoMA: Knowledge-driven Multi-agent Framework for Autonomous Driving with Large Language Models—0
L2COcc: Lightweight Camera-Centric Semantic Scene Completion via Distillation of LiDAR Model—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
Label-Efficient 3D Object Detection For Road-Side Units—0
Labels Are Not Perfect: Improving Probabilistic Object Detection via Label Uncertainty—0
Labels Are Not Perfect: Inferring Spatial Uncertainty in Object Detection—0
LAECIPS: Large Vision Model Assisted Adaptive Edge-Cloud Collaboration for IoT-based Embodied Intelligence System—0
Landing AI on Networks: An equipment vendor viewpoint on Autonomous Driving Networks—0
Multi Lane Detection—0
Lane Attention: Predicting Vehicles' Moving Trajectories by Learning Their Attention over Lanes—0
Lane Boundary Geometry Extraction from Satellite Imagery—0
Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints—0
Lane Change For System-Driven Vehicles Using Dynamic Information—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
Lane-Keeping Control of Autonomous Vehicles Through a Soft-Constrained Iterative LQR—0
LanePtrNet: Revisiting Lane Detection as Point Voting and Grouping on Curves—0
Lane Segmentation Refinement with Diffusion Models—0
LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processor—0
LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions—0
LangOcc: Self-Supervised Open Vocabulary Occupancy Estimation via Volume Rendering—0
Language-Enhanced Latent Representations for Out-of-Distribution Detection in Autonomous Driving—0
Language-Guided 3D Object Detection in Point Cloud for Autonomous Driving—0
Language-Guided Instance-Aware Domain-Adaptive Panoptic Segmentation—0
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving—0
LargeAD: Large-Scale Cross-Sensor Data Pretraining for Autonomous Driving—0
Large Language Models for Autonomous Driving (LLM4AD): Concept, Benchmark, Experiments, and Challenges—0
Large Language Models for Education: A Survey—0
Large Language Models for Human-like Autonomous Driving: A Survey—0
Large receptive field strategy and important feature extraction strategy in 3D object detection—0
Large-scale 3D point cloud representations via graph inception networks with applications to autonomous driving—0
Large Scale Autonomous Driving Scenarios Clustering with Self-supervised Feature Extraction—0
Large-Scale Bandwidth and Power Optimization for Multi-Modal Edge Intelligence Autonomous Driving—0
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset—0
Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset—0
Large-scale, real-time visual-inertial localization revisited—0
Large-Scale Video Analytics through Object-Level Consolidation—0
LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting—0
LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving—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