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 19811990 of 2605 papers

TitleStatusHype
Practical Auto-Calibration for Spatial Scene-Understanding from Crowdsourced Dashcamera Videos0
Next Wave Artificial Intelligence: Robust, Explainable, Adaptable, Ethical, and Accountable0
Artificial Intelligence at the Edge0
AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation0
Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for Pedestrian Action PredictionCode0
Pedestrian Trajectory Prediction using Context-Augmented Transformer Networks0
Driving-Policy Adaptive Safeguard for Autonomous Vehicles Using Reinforcement Learning0
Every View Counts: Cross-View Consistency in 3D Object Detection with Hybrid-Cylindrical-Spherical Voxelization0
Why model why? Assessing the strengths and limitations of LIMECode0
A Fast Point Cloud Ground Segmentation Approach Based on Coarse-To-Fine Markov Random Field0
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Benchmark Results

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