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 2751–2775 of 6092 papers

TitleStatusHype
DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features—0
Semi-Supervised Domain Adaptation Using Target-Oriented Domain Augmentation for 3D Object DetectionCode0
A First Physical-World Trajectory Prediction Attack via LiDAR-induced Deceptions in Autonomous Driving—0
Crossfusor: A Cross-Attention Transformer Enhanced Conditional Diffusion Model for Car-Following Trajectory Prediction—0
Constrained Reinforcement Learning with Average Reward Objective: Model-Based and Model-Free Algorithms—0
Communication-Efficient MARL for Platoon Stability and Energy-efficiency Co-optimization in Cooperative Adaptive Cruise Control of CAVs—0
SparseDet: A Simple and Effective Framework for Fully Sparse LiDAR-based 3D Object Detection—0
Planning with Adaptive World Models for Autonomous Driving—0
MMVR: Millimeter-wave Multi-View Radar Dataset and Benchmark for Indoor PerceptionCode0
Object Detection using Oriented Window Learning Vi-sion Transformer: Roadway Assets Recognition—0
SparseRadNet: Sparse Perception Neural Network on Subsampled Radar Data—0
GenMM: Geometrically and Temporally Consistent Multimodal Data Generation for Video and LiDAR—0
Generating and Evolving Reward Functions for Highway Driving with Large Language Models—0
Semantic Communication for Edge Intelligence Enabled Autonomous Driving System—0
MapVision: CVPR 2024 Autonomous Grand Challenge Mapless Driving Tech Report—0
Galibr: Targetless LiDAR-Camera Extrinsic Calibration Method via Ground Plane Initialization—0
Research on Edge Detection of LiDAR Images Based on Artificial Intelligence Technology—0
Optimizing Visual Question Answering Models for Driving: Bridging the Gap Between Human and Machine Attention Patterns—0
Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis—0
SimGen: Simulator-conditioned Driving Scene Generation—0
CIMRL: Combining IMitation and Reinforcement Learning for Safe Autonomous Driving—0
PRIBOOT: A New Data-Driven Expert for Improved Driving SimulationsCode0
Valeo4Cast: A Modular Approach to End-to-End ForecastingCode0
LaneCPP: Continuous 3D Lane Detection using Physical Priors—0
LiSD: An Efficient Multi-Task Learning Framework for LiDAR Segmentation and Detection—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