SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself 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: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

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Showing 131–140 of 2605 papers

TitleStatusHype
TULIP: Transformer for Upsampling of LiDAR Point CloudsCode1
Bootstrapping Autonomous Driving Radars with Self-Supervised LearningCode1
GPT-4 Enhanced Multimodal Grounding for Autonomous Driving: Leveraging Cross-Modal Attention with Large Language ModelsCode1
Dolphins: Multimodal Language Model for DrivingCode1
Automated Lane Change via Adaptive Interactive MPC: Human-in-the-Loop ExperimentsCode1
MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable UncertaintyCode1
LCPR: A Multi-Scale Attention-Based LiDAR-Camera Fusion Network for Place RecognitionCode1
JRDB-Traj: A Dataset and Benchmark for Trajectory Forecasting in CrowdsCode1
Learning Cooperative Trajectory Representations for Motion ForecastingCode1
RGB-X Object Detection via Scene-Specific Fusion ModulesCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85—Unverified
2GSNetA3DP20.21—Unverified