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

Showing 8190 of 2605 papers

TitleStatusHype
Deep Sensor Fusion with Pyramid Fusion Networks for 3D Semantic SegmentationCode1
A Comparison Benchmark for Distributed Hybrid MPC Control Methods: Distributed Vehicle PlatooningCode1
BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous DrivingCode1
CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving ScenesCode1
BirdNet: a 3D Object Detection Framework from LiDAR informationCode1
Bridging Spectral-wise and Multi-spectral Depth Estimation via Geometry-guided Contrastive LearningCode1
Categorical Depth Distribution Network for Monocular 3D Object DetectionCode1
CVTNet: A Cross-View Transformer Network for Place Recognition Using LiDAR DataCode1
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place RecognitionCode1
Counterfactual Multi-Agent Policy GradientsCode1
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Benchmark Results

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