#sensor-fusion

#sensor-fusion

Back in August, Tesla CEO Elon Musk said Waymo can't drive on highways because of the mix of sensors on the Alphabet company's robotaxis. Waymo's fifth-generation autonomous driving platform has five lidars, six radar sensors, and 29 cameras. It's this mix of lidar, radar, and cameras, Musk wrote on X, that leads to "sensor contention" in which the information from the lidar and radars "disagree" with the cameras.

"If lidars/radars disagree with cameras," Musk asked on Twitter, "which one wins?"

Tesla CEO Elon Musk has frequently expressed his opinions on LiDAR in the past, but in recent days, the EV maker's frontman has continued to discuss the weaknesses in the technology and why his company has relied on cameras. He also mentioned the suite's limits on Waymo's capabilities. Tesla completely abandoned using radar alongside its camera suite a few years ago, something it referred to as "Tesla Vision" at the time.

Design and implement custom machine learning architectures for vision-based navigation and control. Develop and optimize real-time perception systems using CNNs, transformers, or event-based vision. Apply deep reinforcement learning and MPC to guide autonomous behaviors in dynamic environments. Architect robust sensor fusion pipelines with IMUs, event cameras, lidar, radar, and visual odometry. Build, train, and evaluate ML models in simulation and deploy them to embedded hardware.