The Rivian R2 is getting a lidar array, much like fully driverless cars from Waymo. This video from Rivian shows why a camera ...
Morning Overview on MSNOpinion
Rivian proves why lidar should be mandatory for self-driving cars
Rivian is quietly redrawing the map for automated driving, and the most important line it is drawing is made of laser light.
During the automaker’s AI and Autonomy Day in Palo Alto California on Thursday, Rivian unveiled its in-house developed ...
Advanced driver-assistance systems (ADAS) and autonomous-driving technologies rely heavily on sensors, including LiDAR, radar and cameras. Recently, there have been significant advancements in these ...
To bring safe and affordable autonomous vehicles to market, companies are making trade-offs across a variety of dimensions including sensor performance, practicality of deployment and price point. A ...
Rivian's upcoming R2 will incorporate lidar, in addition to cameras and radar, to paint a more detailed, accurate picture of its surroundings.
While both are finding massive demand in the self-driving automotive industry, the advances being made in radar and LiDAR technologies are having a discernable effect on the perimeter surveillance ...
Radar, a technology invented more than a century ago and first widely used during World War II, could soon improve the performance of automated driving systems. While technology companies often ...
Due to its ability to scan and detect objects in the environment, as well as track their movement, LiDAR technology has great potential in automotive applications. The most relevant applications for ...
Waymo's robotaxis are equipped with five lidars, six radar sensors, and 29 cameras. Waymo says lidar and radar help the robotaxi detect pedestrians before cameras can. The company showed how sensors ...
Luminar’s CEO has been very vocal about the pitfalls of camera-based sensors, but now his radar-making company is in trouble.
It’s well known that Elon Musk has declared LIDAR a “crutch” he will never use — he says it distracts from the real mission of doing it all with computer vision. He’s probably, but not certainly wrong ...
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